From 3a87dcd7397531e0f240d4d2dab40c3a4b266c77 Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 25 Apr 2024 16:06:17 +0000 Subject: [PATCH] Update best-of list for version 2024.04.25 --- README.md | 2592 ++++++++++++++++--------------- history/2024-04-25_changes.md | 30 + history/2024-04-25_projects.csv | 918 +++++++++++ latest-changes.md | 40 +- 4 files changed, 2266 insertions(+), 1314 deletions(-) create mode 100644 history/2024-04-25_changes.md create mode 100644 history/2024-04-25_projects.csv diff --git a/README.md b/README.md index 8dc5b870..d9cf4846 100644 --- a/README.md +++ b/README.md @@ -99,50 +99,50 @@ This curated list contains 920 awesome open-source projects with a total of 4.4M _General-purpose machine learning and deep learning frameworks._ -
Tensorflow (πŸ₯‡56 Β· ⭐ 180K Β· πŸ“‰) - An Open Source Machine Learning Framework for Everyone. Apache-2 +
Tensorflow (πŸ₯‡56 Β· ⭐ 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 74K Β· πŸ“¦ 360K Β· πŸ“‹ 39K - 5% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 74K Β· πŸ“¦ 360K Β· πŸ“‹ 40K - 5% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 22M / month Β· πŸ“¦ 16K Β· ⏱️ 09.03.2024): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 23M / month Β· πŸ“¦ 16K Β· ⏱️ 09.03.2024): ``` pip install tensorflow ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 4.5M Β· ⏱️ 30.01.2024): +- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 4.6M Β· ⏱️ 30.01.2024): ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 77M Β· ⭐ 2.4K Β· ⏱️ 18.04.2024): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 77M Β· ⭐ 2.4K Β· ⏱️ 25.04.2024): ``` docker pull tensorflow/tensorflow ```
PyTorch (πŸ₯‡55 Β· ⭐ 78K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.8K Β· πŸ”€ 21K Β· πŸ“₯ 39K Β· πŸ“¦ 430K Β· πŸ“‹ 42K - 33% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.8K Β· πŸ”€ 21K Β· πŸ“₯ 39K Β· πŸ“¦ 430K Β· πŸ“‹ 42K - 33% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 27M / month Β· πŸ“¦ 13K Β· ⏱️ 27.03.2024): +- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 28M / month Β· πŸ“¦ 13K Β· ⏱️ 24.04.2024): ``` pip install torch ``` -- [Conda](https://anaconda.org/pytorch/pytorch) (πŸ“₯ 21M Β· ⏱️ 26.03.2024): +- [Conda](https://anaconda.org/pytorch/pytorch) (πŸ“₯ 21M Β· ⏱️ 23.04.2024): ``` conda install -c pytorch pytorch ```
scikit-learn (πŸ₯‡52 Β· ⭐ 58K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 25K Β· πŸ“₯ 950 Β· πŸ“¦ 750K Β· πŸ“‹ 11K - 19% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 25K Β· πŸ“₯ 950 Β· πŸ“¦ 760K Β· πŸ“‹ 11K - 18% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 64M / month Β· πŸ“¦ 32K Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 65M / month Β· πŸ“¦ 32K Β· ⏱️ 09.04.2024): ``` pip install scikit-learn ``` @@ -153,12 +153,12 @@ _General-purpose machine learning and deep learning frameworks._
Keras (πŸ₯‡47 Β· ⭐ 61K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 1% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 1% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 17M / month Β· πŸ“¦ 830 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 18M / month Β· πŸ“¦ 830 Β· ⏱️ 22.04.2024): ``` pip install keras ``` @@ -169,7 +169,7 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (πŸ₯‡45 Β· ⭐ 38K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 28K Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 28K Β· ⏱️ 25.04.2024): ``` git clone https://github.com/apache/spark @@ -185,12 +185,12 @@ _General-purpose machine learning and deep learning frameworks._
jax (πŸ₯‡45 Β· ⭐ 28K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 680 Β· πŸ”€ 2.5K Β· πŸ“¦ 24K Β· πŸ“‹ 5.5K - 30% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 680 Β· πŸ”€ 2.5K Β· πŸ“¦ 24K Β· πŸ“‹ 5.5K - 30% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 5.7M / month Β· πŸ“¦ 920 Β· ⏱️ 03.04.2024): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 5.9M / month Β· πŸ“¦ 920 Β· ⏱️ 03.04.2024): ``` pip install jax ``` @@ -199,25 +199,9 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge jaxlib ```
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pytorch-lightning (πŸ₯‡45 Β· ⭐ 27K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2 - -- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 940 Β· πŸ”€ 3.2K Β· πŸ“₯ 8.2K Β· πŸ“¦ 31K Β· πŸ“‹ 6.9K - 10% open Β· ⏱️ 16.04.2024): - - ``` - git clone https://github.com/Lightning-AI/lightning - ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 4.9M / month Β· πŸ“¦ 840 Β· ⏱️ 12.04.2024): - ``` - pip install pytorch-lightning - ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 1.1M Β· ⏱️ 12.04.2024): - ``` - conda install -c conda-forge pytorch-lightning - ``` -
XGBoost (πŸ₯‡45 Β· ⭐ 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 8.7K Β· πŸ“₯ 8.4K Β· πŸ“¦ 88K Β· πŸ“‹ 5.2K - 8% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 8.7K Β· πŸ“₯ 8.5K Β· πŸ“¦ 89K Β· πŸ“‹ 5.2K - 8% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/dmlc/xgboost @@ -233,24 +217,24 @@ _General-purpose machine learning and deep learning frameworks._
PaddlePaddle (πŸ₯‡45 Β· ⭐ 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.4K Β· πŸ“₯ 15K Β· πŸ“¦ 4.9K Β· πŸ“‹ 19K - 10% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.4K Β· πŸ“₯ 15K Β· πŸ“¦ 5K Β· πŸ“‹ 19K - 10% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/PaddlePaddle/Paddle ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 220K / month Β· πŸ“¦ 110 Β· ⏱️ 19.03.2024): +- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 270K / month Β· πŸ“¦ 110 Β· ⏱️ 19.03.2024): ``` pip install paddlepaddle ```
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StatsModels (πŸ₯ˆ44 Β· ⭐ 9.5K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +
StatsModels (πŸ₯‡45 Β· ⭐ 9.5K Β· πŸ“ˆ) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 2.8K Β· πŸ“₯ 31 Β· πŸ“¦ 120K Β· πŸ“‹ 5.5K - 50% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 2.8K Β· πŸ“₯ 31 Β· πŸ“¦ 120K Β· πŸ“‹ 5.5K - 50% open Β· ⏱️ 19.04.2024): ``` git clone https://github.com/statsmodels/statsmodels ``` -- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 17M / month Β· πŸ“¦ 5.7K Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 18M / month Β· πŸ“¦ 5.7K Β· ⏱️ 17.04.2024): ``` pip install statsmodels ``` @@ -259,9 +243,25 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge statsmodels ```
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LightGBM (πŸ₯ˆ42 Β· ⭐ 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT +
pytorch-lightning (πŸ₯ˆ44 Β· ⭐ 27K Β· πŸ“‰) - Pretrain, finetune and deploy AI models on multiple.. Apache-2 + +- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 940 Β· πŸ”€ 3.2K Β· πŸ“₯ 7.5K Β· πŸ“¦ 31K Β· πŸ“‹ 6.9K - 10% open Β· ⏱️ 22.04.2024): + + ``` + git clone https://github.com/Lightning-AI/lightning + ``` +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 4.8M / month Β· πŸ“¦ 840 Β· ⏱️ 23.04.2024): + ``` + pip install pytorch-lightning + ``` +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 1.1M Β· ⏱️ 12.04.2024): + ``` + conda install -c conda-forge pytorch-lightning + ``` +
+
LightGBM (πŸ₯ˆ43 Β· ⭐ 16K Β· πŸ“ˆ) - A fast, distributed, high performance gradient boosting (GBT, GBDT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.8K Β· πŸ“₯ 220K Β· πŸ“¦ 32K Β· πŸ“‹ 3.3K - 10% open Β· ⏱️ 10.04.2024): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.8K Β· πŸ“₯ 220K Β· πŸ“¦ 32K Β· πŸ“‹ 3.3K - 10% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/microsoft/LightGBM @@ -277,16 +277,16 @@ _General-purpose machine learning and deep learning frameworks._
Catboost (πŸ₯ˆ41 Β· ⭐ 7.7K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 240K Β· πŸ“¦ 13 Β· πŸ“‹ 2.3K - 22% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 240K Β· πŸ“¦ 13 Β· πŸ“‹ 2.3K - 22% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/catboost/catboost ``` -- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2.1M / month Β· πŸ“¦ 370 Β· ⏱️ 23.02.2024): +- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2.1M / month Β· πŸ“¦ 390 Β· ⏱️ 18.04.2024): ``` pip install catboost ``` -- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 1.5M Β· ⏱️ 24.02.2024): +- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 1.5M Β· ⏱️ 18.04.2024): ``` conda install -c conda-forge catboost ``` @@ -303,30 +303,30 @@ _General-purpose machine learning and deep learning frameworks._ pip install fastai ```
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Flax (πŸ₯ˆ39 Β· ⭐ 5.5K Β· πŸ“ˆ) - Flax is a neural network library for JAX that is designed for.. Apache-2 +
Flax (πŸ₯ˆ39 Β· ⭐ 5.5K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 590 Β· πŸ“₯ 50 Β· πŸ“¦ 6.9K Β· πŸ“‹ 920 - 23% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 590 Β· πŸ“₯ 50 Β· πŸ“¦ 7K Β· πŸ“‹ 920 - 23% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 3.3M / month Β· πŸ“¦ 240 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 3.5M / month Β· πŸ“¦ 240 Β· ⏱️ 14.03.2024): ``` pip install flax ``` -- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 45K Β· ⏱️ 14.03.2024): +- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 46K Β· ⏱️ 14.03.2024): ``` conda install -c conda-forge flax ```
PyFlink (πŸ₯ˆ38 Β· ⭐ 23K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 25.04.2024): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 71K / month Β· πŸ“¦ 24 Β· ⏱️ 15.03.2024): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 67K / month Β· πŸ“¦ 24 Β· ⏱️ 15.03.2024): ``` pip install apache-flink ``` @@ -338,11 +338,11 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 28K / month Β· πŸ“¦ 17 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 31K / month Β· πŸ“¦ 17 Β· ⏱️ 10.04.2024): ``` pip install jina ``` -- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 61K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 62K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge jina-core ``` @@ -351,14 +351,14 @@ _General-purpose machine learning and deep learning frameworks._ docker pull jinaai/jina ```
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Theano (πŸ₯ˆ38 Β· ⭐ 9.9K Β· πŸ“ˆ) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 +
Theano (πŸ₯ˆ38 Β· ⭐ 9.9K) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 - [GitHub](https://github.com/Theano/Theano) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 2.5K Β· πŸ“¦ 15K Β· πŸ“‹ 2.8K - 24% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/Theano/Theano ``` -- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 280K / month Β· πŸ“¦ 2.8K Β· ⏱️ 27.07.2020): +- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 340K / month Β· πŸ“¦ 2.8K Β· ⏱️ 27.07.2020): ``` pip install theano ``` @@ -367,6 +367,22 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge theano ```
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Thinc (πŸ₯ˆ36 Β· ⭐ 2.8K Β· πŸ“ˆ) - A refreshing functional take on deep learning, compatible with your.. MIT + +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 280 Β· πŸ“¦ 46K Β· πŸ“‹ 140 - 12% open Β· ⏱️ 23.04.2024): + + ``` + git clone https://github.com/explosion/thinc + ``` +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 8.5M / month Β· πŸ“¦ 650 Β· ⏱️ 19.04.2024): + ``` + pip install thinc + ``` +- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 2.7M Β· ⏱️ 29.12.2023): + ``` + conda install -c conda-forge thinc + ``` +
Vowpal Wabbit (πŸ₯ˆ35 Β· ⭐ 8.4K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 - [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 2K Β· πŸ“‹ 1.3K - 11% open Β· ⏱️ 11.04.2024): @@ -374,99 +390,83 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 110K / month Β· πŸ“¦ 35 Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 120K / month Β· πŸ“¦ 35 Β· ⏱️ 19.07.2023): ``` pip install vowpalwabbit ``` -- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 140K Β· ⏱️ 26.03.2024): +- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 150K Β· ⏱️ 26.03.2024): ``` conda install -c conda-forge vowpalwabbit ```
ivy (πŸ₯ˆ34 Β· ⭐ 14K) - The Unified AI Framework. Apache-2 -- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.9K Β· πŸ“‹ 17K - 6% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.9K Β· πŸ“‹ 17K - 6% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/unifyai/ivy ``` -- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 860 / month Β· πŸ“¦ 9 Β· ⏱️ 15.03.2024): +- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 990 / month Β· πŸ“¦ 9 Β· ⏱️ 15.03.2024): ``` pip install ivy ```
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Ludwig (πŸ₯ˆ34 Β· ⭐ 11K Β· πŸ“‰) - Low-code framework for building custom LLMs, neural networks,.. Apache-2 +
Ludwig (πŸ₯ˆ34 Β· ⭐ 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2 -- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.2K Β· πŸ“¦ 240 Β· πŸ“‹ 1.1K - 32% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.2K Β· πŸ“¦ 250 Β· πŸ“‹ 1.1K - 32% open Β· ⏱️ 18.04.2024): ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 4.8K / month Β· πŸ“¦ 9 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 4.9K / month Β· πŸ“¦ 9 Β· ⏱️ 08.04.2024): ``` pip install ludwig ```
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Ignite (πŸ₯ˆ34 Β· ⭐ 4.5K) - High-level library to help with training and evaluating neural.. BSD-3 - -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 610 Β· πŸ“¦ 2.8K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 17.04.2024): - - ``` - git clone https://github.com/pytorch/ignite - ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 170K / month Β· πŸ“¦ 53 Β· ⏱️ 18.04.2024): - ``` - pip install pytorch-ignite - ``` -- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 180K Β· ⏱️ 01.04.2024): - ``` - conda install -c pytorch ignite - ``` -
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Thinc (πŸ₯ˆ34 Β· ⭐ 2.8K Β· πŸ“‰) - A refreshing functional take on deep learning, compatible with your.. MIT +
mlpack (πŸ₯ˆ34 Β· ⭐ 4.8K Β· πŸ“ˆ) - mlpack: a fast, header-only C++ machine learning library. BSD-3 -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 270 Β· πŸ“¦ 46K Β· πŸ“‹ 140 - 12% open Β· ⏱️ 07.02.2024): +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 22.04.2024): ``` - git clone https://github.com/explosion/thinc + git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 8M / month Β· πŸ“¦ 650 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 5K / month Β· πŸ“¦ 1 Β· ⏱️ 10.04.2024): ``` - pip install thinc + pip install mlpack ``` -- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 2.7M Β· ⏱️ 29.12.2023): +- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 170K Β· ⏱️ 29.11.2023): ``` - conda install -c conda-forge thinc + conda install -c conda-forge mlpack ```
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mlpack (πŸ₯‰33 Β· ⭐ 4.8K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 +
Ignite (πŸ₯ˆ34 Β· ⭐ 4.5K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 610 Β· πŸ“¦ 2.8K Β· πŸ“‹ 1.4K - 11% open Β· ⏱️ 24.04.2024): ``` - git clone https://github.com/mlpack/mlpack + git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 3.6K / month Β· πŸ“¦ 1 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 190K / month Β· πŸ“¦ 53 Β· ⏱️ 25.04.2024): ``` - pip install mlpack + pip install pytorch-ignite ``` -- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 170K Β· ⏱️ 29.11.2023): +- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 180K Β· ⏱️ 01.04.2024): ``` - conda install -c conda-forge mlpack + conda install -c pytorch ignite ```
Sonnet (πŸ₯‰32 Β· ⭐ 9.7K) - TensorFlow-based neural network library. Apache-2 -- [GitHub](https://github.com/google-deepmind/sonnet) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 1.4K Β· πŸ“¦ 1.3K Β· πŸ“‹ 190 - 16% open Β· ⏱️ 08.04.2024): +- [GitHub](https://github.com/google-deepmind/sonnet) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.3K Β· πŸ“‹ 190 - 16% open Β· ⏱️ 08.04.2024): ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 28K / month Β· πŸ“¦ 53 Β· ⏱️ 02.01.2024): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 30K / month Β· πŸ“¦ 53 Β· ⏱️ 02.01.2024): ``` pip install dm-sonnet ``` -- [Conda](https://anaconda.org/conda-forge/sonnet) (πŸ“₯ 27K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sonnet) (πŸ“₯ 28K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sonnet ``` @@ -478,7 +478,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 6.4M / month Β· πŸ“¦ 870 Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 6.5M / month Β· πŸ“¦ 870 Β· ⏱️ 01.10.2023): ``` pip install einops ``` @@ -489,12 +489,12 @@ _General-purpose machine learning and deep learning frameworks._
tensorpack (πŸ₯‰32 Β· ⭐ 6.3K Β· πŸ’€) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 -- [GitHub](https://github.com/tensorpack/tensorpack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.8K Β· πŸ“₯ 160 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.4K - 0% open Β· ⏱️ 06.08.2023): +- [GitHub](https://github.com/tensorpack/tensorpack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.8K Β· πŸ“₯ 170 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.4K - 0% open Β· ⏱️ 06.08.2023): ``` git clone https://github.com/tensorpack/tensorpack ``` -- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 13K / month Β· πŸ“¦ 47 Β· ⏱️ 22.01.2021): +- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 13K / month Β· πŸ“¦ 48 Β· ⏱️ 22.01.2021): ``` pip install tensorpack ``` @@ -510,7 +510,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 280K / month Β· πŸ“¦ 90 Β· ⏱️ 28.02.2024): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 260K / month Β· πŸ“¦ 90 Β· ⏱️ 28.02.2024): ``` pip install dm-haiku ``` @@ -521,52 +521,52 @@ _General-purpose machine learning and deep learning frameworks._
dyNET (πŸ₯‰31 Β· ⭐ 3.4K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 -- [GitHub](https://github.com/clab/dynet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 700 Β· πŸ“₯ 15K Β· πŸ“¦ 260 Β· πŸ“‹ 940 - 29% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/clab/dynet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 700 Β· πŸ“₯ 16K Β· πŸ“¦ 260 Β· πŸ“‹ 940 - 29% open Β· ⏱️ 08.11.2023): ``` git clone https://github.com/clab/dynet ``` -- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 310K / month Β· πŸ“¦ 29 Β· ⏱️ 21.10.2020): +- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 340K / month Β· πŸ“¦ 29 Β· ⏱️ 21.10.2020): ``` pip install dyNET ```
Determined (πŸ₯‰31 Β· ⭐ 2.9K) - Determined is an open-source machine learning platform.. Apache-2 -- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 340 Β· πŸ“₯ 7.8K Β· πŸ“‹ 480 - 31% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 340 Β· πŸ“₯ 7.9K Β· πŸ“‹ 480 - 30% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 64K / month Β· πŸ“¦ 4 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 67K / month Β· πŸ“¦ 4 Β· ⏱️ 24.04.2024): ``` pip install determined ```
Geomstats (πŸ₯‰31 Β· ⭐ 1.1K) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 230 Β· πŸ“¦ 99 Β· πŸ“‹ 560 - 37% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 230 Β· πŸ“¦ 100 Β· πŸ“‹ 560 - 37% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3.2K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3.8K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): ``` pip install geomstats ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 2.3K Β· ⏱️ 30.08.2023): +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 2.4K Β· ⏱️ 30.08.2023): ``` conda install -c conda-forge geomstats ```
tensorflow-upstream (πŸ₯‰31 Β· ⭐ 680) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 89 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 22% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 89 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 22% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 4K / month Β· πŸ“¦ 6 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 4.7K / month Β· πŸ“¦ 6 Β· ⏱️ 10.01.2024): ``` pip install tensorflow-rocm ``` @@ -578,7 +578,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 150K / month Β· πŸ“¦ 54 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 160K / month Β· πŸ“¦ 54 Β· ⏱️ 04.09.2023): ``` pip install skorch ``` @@ -594,38 +594,38 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 9.6K / month Β· πŸ“¦ 3 Β· ⏱️ 05.04.2024): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 9.4K / month Β· πŸ“¦ 3 Β· ⏱️ 05.04.2024): ``` pip install ktrain ```
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Neural Network Libraries (πŸ₯‰29 Β· ⭐ 2.7K) - Neural Network Libraries. Apache-2 +
EvaDB (πŸ₯‰29 Β· ⭐ 2.6K) - Database system for AI-powered apps. Apache-2 -- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 340 Β· πŸ“₯ 920 Β· πŸ“‹ 92 - 34% open Β· ⏱️ 12.03.2024): +- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 250 Β· πŸ“₯ 410K Β· πŸ“¦ 140 Β· πŸ“‹ 300 - 25% open Β· ⏱️ 03.12.2023): ``` - git clone https://github.com/sony/nnabla + git clone https://github.com/georgia-tech-db/eva ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 2.1K / month Β· πŸ“¦ 55 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 9K / month Β· ⏱️ 19.11.2023): ``` - pip install nnabla + pip install evadb ```
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EvaDB (πŸ₯‰29 Β· ⭐ 2.6K) - Database system for AI-powered apps. Apache-2 +
Neural Network Libraries (πŸ₯‰28 Β· ⭐ 2.7K Β· πŸ“‰) - Neural Network Libraries. Apache-2 -- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 250 Β· πŸ“₯ 410K Β· πŸ“¦ 140 Β· πŸ“‹ 300 - 25% open Β· ⏱️ 03.12.2023): +- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 340 Β· πŸ“₯ 920 Β· πŸ“‹ 92 - 34% open Β· ⏱️ 24.04.2024): ``` - git clone https://github.com/georgia-tech-db/eva + git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 9.1K / month Β· ⏱️ 19.11.2023): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.1K / month Β· πŸ“¦ 55 Β· ⏱️ 06.12.2023): ``` - pip install evadb + pip install nnabla ```
pyRiemann (πŸ₯‰27 Β· ⭐ 580) - Machine learning for multivariate data through the Riemannian.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 160 Β· πŸ“¦ 330 Β· πŸ“‹ 100 - 4% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 160 Β· πŸ“¦ 330 Β· πŸ“‹ 100 - 4% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/pyRiemann/pyRiemann @@ -634,7 +634,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install pyriemann ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 5.4K Β· ⏱️ 10.04.2024): +- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 5.5K Β· ⏱️ 10.04.2024): ``` conda install -c conda-forge pyriemann ``` @@ -657,16 +657,28 @@ _General-purpose machine learning and deep learning frameworks._
Neural Tangents (πŸ₯‰26 Β· ⭐ 2.2K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“₯ 370 Β· πŸ“¦ 98 Β· πŸ“‹ 150 - 39% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“₯ 380 Β· πŸ“¦ 98 Β· πŸ“‹ 150 - 39% open Β· ⏱️ 01.03.2024): ``` git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 1.9K / month Β· πŸ“¦ 1 Β· ⏱️ 11.12.2023): +- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2.2K / month Β· πŸ“¦ 1 Β· ⏱️ 11.12.2023): ``` pip install neural-tangents ```
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Towhee (πŸ₯‰24 Β· ⭐ 3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 + +- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 250 Β· πŸ“₯ 2.6K Β· πŸ“‹ 660 - 0% open Β· ⏱️ 20.01.2024): + + ``` + git clone https://github.com/towhee-io/towhee + ``` +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 3.9K / month Β· ⏱️ 04.12.2023): + ``` + pip install towhee + ``` +
fklearn (πŸ₯‰24 Β· ⭐ 1.5K) - fklearn: Functional Machine Learning. Apache-2 - [GitHub](https://github.com/nubank/fklearn) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 160 Β· πŸ“¦ 13 Β· πŸ“‹ 60 - 58% open Β· ⏱️ 08.11.2023): @@ -674,7 +686,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 490 / month Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 570 / month Β· ⏱️ 09.11.2023): ``` pip install fklearn ``` @@ -687,18 +699,6 @@ _General-purpose machine learning and deep learning frameworks._ git clone https://github.com/XiaoMi/mace ```
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Towhee (πŸ₯‰23 Β· ⭐ 3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 - -- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 250 Β· πŸ“₯ 2.6K Β· πŸ“‹ 660 - 0% open Β· ⏱️ 20.01.2024): - - ``` - git clone https://github.com/towhee-io/towhee - ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 3.3K / month Β· ⏱️ 04.12.2023): - ``` - pip install towhee - ``` -
ThunderSVM (πŸ₯‰22 Β· ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 - [GitHub](https://github.com/Xtra-Computing/thundersvm) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 210 Β· πŸ“₯ 2.8K Β· πŸ“‹ 220 - 33% open Β· ⏱️ 01.04.2024): @@ -706,19 +706,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 790 / month Β· ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 780 / month Β· ⏱️ 13.03.2020): ``` pip install thundersvm ```
NeoML (πŸ₯‰22 Β· ⭐ 760) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“‹ 87 - 42% open Β· ⏱️ 09.04.2024): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“‹ 87 - 42% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 190 / month Β· ⏱️ 26.12.2023): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 430 / month Β· ⏱️ 26.12.2023): ``` pip install neoml ``` @@ -730,7 +730,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/pytorchbearer/torchbearer ``` -- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 470 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): +- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 530 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): ``` pip install torchbearer ``` @@ -749,12 +749,12 @@ _General-purpose machine learning and deep learning frameworks._
chefboost (πŸ₯‰20 Β· ⭐ 440) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT -- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 98 Β· πŸ“¦ 53 Β· πŸ“‹ 45 - 11% open Β· ⏱️ 26.12.2023): +- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 99 Β· πŸ“¦ 53 Β· πŸ“‹ 46 - 10% open Β· ⏱️ 26.12.2023): ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 2.9K / month Β· ⏱️ 16.02.2022): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 2.8K / month Β· ⏱️ 16.02.2022): ``` pip install chefboost ``` @@ -766,7 +766,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 180 / month Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 280 / month Β· ⏱️ 19.09.2022): ``` pip install thundergbm ``` @@ -799,12 +799,12 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (πŸ₯‡50 Β· ⭐ 19K) - matplotlib: plotting with Python. Python-2.0 -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 7.4K Β· πŸ“¦ 1.2M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 7.4K Β· πŸ“¦ 1.2M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 63M / month Β· πŸ“¦ 66K Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 63M / month Β· πŸ“¦ 67K Β· ⏱️ 09.04.2024): ``` pip install matplotlib ``` @@ -815,12 +815,12 @@ _General-purpose and task-specific data visualization libraries._
Bokeh (πŸ₯‡45 Β· ⭐ 19K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 4.2K Β· πŸ“¦ 86K Β· πŸ“‹ 7.6K - 9% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 4.2K Β· πŸ“¦ 87K Β· πŸ“‹ 7.6K - 9% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 5.1M / month Β· πŸ“¦ 3.9K Β· ⏱️ 11.04.2024): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 5.3M / month Β· πŸ“¦ 3.9K Β· ⏱️ 11.04.2024): ``` pip install bokeh ``` @@ -836,7 +836,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 15M / month Β· πŸ“¦ 5.8K Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 15M / month Β· πŸ“¦ 5.9K Β· ⏱️ 17.04.2024): ``` pip install plotly ``` @@ -844,14 +844,14 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge plotly ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 6.5K / month Β· πŸ“¦ 7 Β· ⏱️ 12.01.2021): +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 6.4K / month Β· πŸ“¦ 7 Β· ⏱️ 12.01.2021): ``` npm install plotlywidget ```
Seaborn (πŸ₯‡43 Β· ⭐ 12K) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.9K Β· πŸ“₯ 380 Β· πŸ“¦ 390K Β· πŸ“‹ 2.5K - 5% open Β· ⏱️ 30.03.2024): +- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.9K Β· πŸ“₯ 380 Β· πŸ“¦ 400K Β· πŸ“‹ 2.5K - 5% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/mwaskom/seaborn @@ -860,14 +860,14 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install seaborn ``` -- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 8.4M Β· ⏱️ 27.01.2024): +- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 8.5M Β· ⏱️ 27.01.2024): ``` conda install -c conda-forge seaborn ```
dash (πŸ₯‡42 Β· ⭐ 20K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT -- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2K Β· πŸ“₯ 70 Β· πŸ“¦ 62K Β· πŸ“‹ 1.7K - 47% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2K Β· πŸ“₯ 70 Β· πŸ“¦ 62K Β· πŸ“‹ 1.7K - 47% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/plotly/dash @@ -876,14 +876,14 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install dash ``` -- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.2M Β· ⏱️ 10.03.2024): +- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.3M Β· ⏱️ 10.03.2024): ``` conda install -c conda-forge dash ```
Altair (πŸ₯‡41 Β· ⭐ 8.9K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 760 Β· πŸ“₯ 120 Β· πŸ“¦ 120K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 14.04.2024): +- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 760 Β· πŸ“₯ 120 Β· πŸ“¦ 130K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 14.04.2024): ``` git clone https://github.com/altair-viz/altair @@ -899,12 +899,12 @@ _General-purpose and task-specific data visualization libraries._
pandas-profiling (πŸ₯ˆ37 Β· ⭐ 12K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 78 Β· πŸ“¦ 2.9K Β· πŸ“‹ 770 - 27% open Β· ⏱️ 09.04.2024): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 82 Β· πŸ“¦ 3K Β· πŸ“‹ 770 - 27% open Β· ⏱️ 09.04.2024): ``` git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 610K / month Β· πŸ“¦ 200 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 650K / month Β· πŸ“¦ 200 Β· ⏱️ 03.02.2023): ``` pip install pandas-profiling ``` @@ -915,36 +915,36 @@ _General-purpose and task-specific data visualization libraries._
PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.7K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“¦ 9.2K Β· πŸ“‹ 1.3K - 30% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“¦ 9.3K Β· πŸ“‹ 1.3K - 30% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 230K / month Β· πŸ“¦ 1K Β· ⏱️ 07.03.2024): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 220K / month Β· πŸ“¦ 1K Β· ⏱️ 22.04.2024): ``` pip install pyqtgraph ``` -- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 520K Β· ⏱️ 18.04.2024): +- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 520K Β· ⏱️ 22.04.2024): ``` conda install -c conda-forge pyqtgraph ```
HoloViews (πŸ₯ˆ37 Β· ⭐ 2.6K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 390 Β· πŸ“¦ 10K Β· πŸ“‹ 3.3K - 33% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 390 Β· πŸ“¦ 10K Β· πŸ“‹ 3.3K - 33% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 400K / month Β· πŸ“¦ 290 Β· ⏱️ 19.03.2024): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 390K / month Β· πŸ“¦ 290 Β· ⏱️ 23.04.2024): ``` pip install holoviews ``` -- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.5M Β· ⏱️ 12.02.2024): +- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.6M Β· ⏱️ 12.02.2024): ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 340 / month Β· πŸ“¦ 3 Β· ⏱️ 22.03.2024): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 290 / month Β· πŸ“¦ 3 Β· ⏱️ 22.03.2024): ``` npm install @pyviz/jupyterlab_pyviz ``` @@ -965,21 +965,21 @@ _General-purpose and task-specific data visualization libraries._ conda install -c anaconda python-graphviz ```
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pyecharts (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ“‰) - Python Echarts Plotting Library. MIT +
pyecharts (πŸ₯ˆ36 Β· ⭐ 14K) - Python Echarts Plotting Library. MIT -- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 2.8K Β· πŸ“₯ 30 Β· πŸ“¦ 4K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 2.8K Β· πŸ“₯ 32 Β· πŸ“¦ 4K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 03.03.2024): ``` git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 150K / month Β· πŸ“¦ 250 Β· ⏱️ 03.03.2024): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 160K / month Β· πŸ“¦ 250 Β· ⏱️ 03.03.2024): ``` pip install pyecharts ```
plotnine (πŸ₯ˆ36 Β· ⭐ 3.8K) - A Grammar of Graphics for Python. MIT -- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 210 Β· πŸ“¦ 7.3K Β· πŸ“‹ 620 - 11% open Β· ⏱️ 11.04.2024): +- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 210 Β· πŸ“¦ 7.4K Β· πŸ“‹ 630 - 11% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/has2k1/plotnine @@ -993,9 +993,9 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge plotnine ```
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PyVista (πŸ₯ˆ36 Β· ⭐ 2.3K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT +
PyVista (πŸ₯ˆ36 Β· ⭐ 2.4K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 420 Β· πŸ“₯ 800 Β· πŸ“¦ 2.8K Β· πŸ“‹ 1.6K - 32% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 420 Β· πŸ“₯ 800 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.6K - 32% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/pyvista/pyvista @@ -1025,14 +1025,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge wordcloud ```
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FiftyOne (πŸ₯ˆ35 Β· ⭐ 6.6K) - Visualize, create, and debug image and video datasets.. Apache-2 +
FiftyOne (πŸ₯ˆ35 Β· ⭐ 6.7K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 490 Β· πŸ“¦ 540 Β· πŸ“‹ 1.5K - 33% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 490 Β· πŸ“¦ 550 Β· πŸ“‹ 1.5K - 32% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 69K / month Β· πŸ“¦ 12 Β· ⏱️ 15.04.2024): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 66K / month Β· πŸ“¦ 12 Β· ⏱️ 15.04.2024): ``` pip install fiftyone ``` @@ -1044,7 +1044,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 92K / month Β· πŸ“¦ 150 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 90K / month Β· πŸ“¦ 150 Β· ⏱️ 14.03.2024): ``` pip install vispy ``` @@ -1052,19 +1052,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge vispy ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 9 / month Β· πŸ“¦ 2 Β· ⏱️ 15.03.2020): +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 10 / month Β· πŸ“¦ 2 Β· ⏱️ 15.03.2020): ``` npm install vispy ```
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cartopy (πŸ₯ˆ35 Β· ⭐ 1.3K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 +
cartopy (πŸ₯ˆ35 Β· ⭐ 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 - [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 360 Β· πŸ“¦ 4.8K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 12.04.2024): ``` git clone https://github.com/SciTools/cartopy ``` -- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 210K / month Β· πŸ“¦ 500 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 220K / month Β· πŸ“¦ 500 Β· ⏱️ 10.04.2024): ``` pip install cartopy ``` @@ -1075,12 +1075,12 @@ _General-purpose and task-specific data visualization libraries._
UMAP (πŸ₯ˆ33 Β· ⭐ 6.9K) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 760 Β· πŸ“¦ 1 Β· πŸ“‹ 780 - 57% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 760 Β· πŸ“¦ 1 Β· πŸ“‹ 780 - 57% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 920K / month Β· πŸ“¦ 610 Β· ⏱️ 03.04.2024): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1M / month Β· πŸ“¦ 620 Β· ⏱️ 03.04.2024): ``` pip install umap-learn ``` @@ -1089,18 +1089,18 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge umap-learn ```
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datashader (πŸ₯ˆ32 Β· ⭐ 3.2K) - Quickly and accurately render even the largest data. BSD-3 +
datashader (πŸ₯ˆ33 Β· ⭐ 3.2K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 360 Β· πŸ“¦ 3.9K Β· πŸ“‹ 580 - 23% open Β· ⏱️ 10.04.2024): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 360 Β· πŸ“¦ 3.9K Β· πŸ“‹ 580 - 23% open Β· ⏱️ 19.04.2024): ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 92K / month Β· πŸ“¦ 140 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 92K / month Β· πŸ“¦ 140 Β· ⏱️ 19.04.2024): ``` pip install datashader ``` -- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 820K Β· ⏱️ 27.10.2023): +- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 830K Β· ⏱️ 23.04.2024): ``` conda install -c conda-forge datashader ``` @@ -1112,63 +1112,47 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 3.8K / month Β· πŸ“¦ 17 Β· ⏱️ 25.03.2024): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 5.1K / month Β· πŸ“¦ 17 Β· ⏱️ 25.03.2024): ``` pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 550K Β· ⏱️ 26.03.2024): +- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 560K Β· ⏱️ 26.03.2024): ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 3.2K / month Β· πŸ“¦ 4 Β· ⏱️ 25.03.2024): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 3.5K / month Β· πŸ“¦ 4 Β· ⏱️ 25.03.2024): ``` npm install @finos/perspective-jupyterlab ```
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lets-plot (πŸ₯ˆ31 Β· ⭐ 1.4K) - Multiplatform plotting library based on the Grammar of Graphics. MIT +
lets-plot (πŸ₯ˆ31 Β· ⭐ 1.5K) - Multiplatform plotting library based on the Grammar of Graphics. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 46 Β· πŸ“₯ 650 Β· πŸ“¦ 73 Β· πŸ“‹ 550 - 24% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 46 Β· πŸ“₯ 650 Β· πŸ“¦ 73 Β· πŸ“‹ 540 - 23% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 19K / month Β· πŸ“¦ 5 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 22K / month Β· πŸ“¦ 5 Β· ⏱️ 25.04.2024): ``` pip install lets-plot ```
hvPlot (πŸ₯ˆ31 Β· ⭐ 940) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 98 Β· πŸ“¦ 4.8K Β· πŸ“‹ 740 - 44% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 99 Β· πŸ“¦ 4.9K Β· πŸ“‹ 750 - 44% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 170K / month Β· πŸ“¦ 110 Β· ⏱️ 29.01.2024): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 160K / month Β· πŸ“¦ 120 Β· ⏱️ 19.04.2024): ``` pip install hvplot ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 550K Β· ⏱️ 30.01.2024): +- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 560K Β· ⏱️ 30.01.2024): ``` conda install -c conda-forge hvplot ```
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D-Tale (πŸ₯‰30 Β· ⭐ 4.5K) - Visualizer for pandas data structures. ❗️LGPL-2.1 - -- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 380 Β· πŸ“¦ 1.1K Β· πŸ“‹ 570 - 11% open Β· ⏱️ 06.03.2024): - - ``` - git clone https://github.com/man-group/dtale - ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 57K / month Β· πŸ“¦ 23 Β· ⏱️ 07.03.2024): - ``` - pip install dtale - ``` -- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 270K Β· ⏱️ 07.03.2024): - ``` - conda install -c conda-forge dtale - ``` -
bqplot (πŸ₯‰30 Β· ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2 - [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 460 Β· πŸ“¦ 55 Β· πŸ“‹ 620 - 40% open Β· ⏱️ 25.03.2024): @@ -1176,7 +1160,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 110K / month Β· πŸ“¦ 110 Β· ⏱️ 25.03.2024): +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 120K / month Β· πŸ“¦ 110 Β· ⏱️ 25.03.2024): ``` pip install bqplot ``` @@ -1184,19 +1168,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge bqplot ``` -- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 3.3K / month Β· πŸ“¦ 17 Β· ⏱️ 25.03.2024): +- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 3.1K / month Β· πŸ“¦ 17 Β· ⏱️ 25.03.2024): ``` npm install bqplot ```
mpld3 (πŸ₯‰30 Β· ⭐ 2.3K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3 -- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 360 Β· πŸ“¦ 5.8K Β· πŸ“‹ 360 - 59% open Β· ⏱️ 23.12.2023): +- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 360 Β· πŸ“¦ 5.9K Β· πŸ“‹ 360 - 59% open Β· ⏱️ 23.12.2023): ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 430K / month Β· πŸ“¦ 420 Β· ⏱️ 23.12.2023): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 420K / month Β· πŸ“¦ 420 Β· ⏱️ 23.12.2023): ``` pip install mpld3 ``` @@ -1204,43 +1188,59 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 900 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 910 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): ``` npm install mpld3 ```
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data-validation (πŸ₯‰29 Β· ⭐ 750) - Library for exploring and validating machine learning.. Apache-2 +
data-validation (πŸ₯‰30 Β· ⭐ 750) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 160 Β· πŸ“₯ 650 Β· πŸ“¦ 860 Β· πŸ“‹ 180 - 19% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 160 Β· πŸ“₯ 650 Β· πŸ“¦ 860 Β· πŸ“‹ 180 - 19% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/tensorflow/data-validation ``` -- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 190K / month Β· πŸ“¦ 30 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 190K / month Β· πŸ“¦ 31 Β· ⏱️ 24.04.2024): ``` pip install tensorflow-data-validation ```
+
D-Tale (πŸ₯‰29 Β· ⭐ 4.5K Β· πŸ“‰) - Visualizer for pandas data structures. ❗️LGPL-2.1 + +- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 380 Β· πŸ“¦ 1.1K Β· πŸ“‹ 570 - 11% open Β· ⏱️ 06.03.2024): + + ``` + git clone https://github.com/man-group/dtale + ``` +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 52K / month Β· πŸ“¦ 23 Β· ⏱️ 07.03.2024): + ``` + pip install dtale + ``` +- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 270K Β· ⏱️ 07.03.2024): + ``` + conda install -c conda-forge dtale + ``` +
Facets Overview (πŸ₯‰28 Β· ⭐ 7.3K Β· πŸ’€) - Visualizations for machine learning datasets. Apache-2 -- [GitHub](https://github.com/PAIR-code/facets) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 910 Β· πŸ“¦ 230 Β· πŸ“‹ 160 - 50% open Β· ⏱️ 24.05.2023): +- [GitHub](https://github.com/PAIR-code/facets) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 910 Β· πŸ“¦ 240 Β· πŸ“‹ 160 - 50% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/pair-code/facets ``` -- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 130K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2023): +- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 150K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2023): ``` pip install facets-overview ```
AutoViz (πŸ₯‰28 Β· ⭐ 1.6K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 190 Β· πŸ“¦ 660 Β· πŸ“‹ 89 - 5% open Β· ⏱️ 02.04.2024): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 200 Β· πŸ“¦ 670 Β· πŸ“‹ 93 - 5% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 35K / month Β· πŸ“¦ 7 Β· ⏱️ 02.04.2024): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 28K / month Β· πŸ“¦ 7 Β· ⏱️ 25.04.2024): ``` pip install autoviz ``` @@ -1256,7 +1256,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 67K / month Β· πŸ“¦ 20 Β· ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 65K / month Β· πŸ“¦ 20 Β· ⏱️ 29.11.2023): ``` pip install sweetviz ``` @@ -1267,24 +1267,24 @@ _General-purpose and task-specific data visualization libraries._
HyperTools (πŸ₯‰27 Β· ⭐ 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT -- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“₯ 32 Β· πŸ“¦ 390 Β· πŸ“‹ 200 - 33% open Β· ⏱️ 19.03.2024): +- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“₯ 32 Β· πŸ“¦ 400 Β· πŸ“‹ 200 - 33% open Β· ⏱️ 19.03.2024): ``` git clone https://github.com/ContextLab/hypertools ``` -- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 950 / month Β· πŸ“¦ 10 Β· ⏱️ 12.02.2022): +- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 1K / month Β· πŸ“¦ 10 Β· ⏱️ 12.02.2022): ``` pip install hypertools ```
openTSNE (πŸ₯‰27 Β· ⭐ 1.4K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 780 Β· πŸ“‹ 130 - 2% open Β· ⏱️ 11.03.2024): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 780 Β· πŸ“‹ 130 - 3% open Β· ⏱️ 11.03.2024): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 29K / month Β· πŸ“¦ 24 Β· ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 30K / month Β· πŸ“¦ 24 Β· ⏱️ 29.11.2023): ``` pip install opentsne ``` @@ -1300,11 +1300,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 410K / month Β· πŸ“¦ 12 Β· ⏱️ 27.03.2024): +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 430K / month Β· πŸ“¦ 12 Β· ⏱️ 27.03.2024): ``` pip install plotly-resampler ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 37K Β· ⏱️ 29.03.2024): +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 38K Β· ⏱️ 29.03.2024): ``` conda install -c conda-forge plotly-resampler ``` @@ -1316,7 +1316,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 33K / month Β· πŸ“¦ 10 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 32K / month Β· πŸ“¦ 10 Β· ⏱️ 12.10.2023): ``` pip install chartify ``` @@ -1332,7 +1332,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 44K / month Β· πŸ“¦ 27 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 40K / month Β· πŸ“¦ 27 Β· ⏱️ 17.02.2021): ``` pip install python-ternary ``` @@ -1348,7 +1348,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 2.5K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 2.4K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` @@ -1389,14 +1389,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge vega ```
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Popmon (πŸ₯‰21 Β· ⭐ 480 Β· πŸ’€) - Monitor the stability of a Pandas or Spark dataframe. MIT +
Popmon (πŸ₯‰21 Β· ⭐ 490 Β· πŸ’€) - Monitor the stability of a Pandas or Spark dataframe. MIT - [GitHub](https://github.com/ing-bank/popmon) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 35 Β· πŸ“₯ 150 Β· πŸ“¦ 20 Β· πŸ“‹ 55 - 27% open Β· ⏱️ 18.07.2023): ``` git clone https://github.com/ing-bank/popmon ``` -- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 8.3K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 11K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): ``` pip install popmon ``` @@ -1424,7 +1424,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 880 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 940 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): ``` pip install ivis ``` @@ -1436,7 +1436,7 @@ _General-purpose and task-specific data visualization libraries._ - pythreejs (πŸ₯‰27 Β· ⭐ 920 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 - Pandas-Bokeh (πŸ₯‰24 Β· ⭐ 880 Β· πŸ’€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - PandasGUI (πŸ₯‰23 Β· ⭐ 3.1K) - A GUI for Pandas DataFrames. ❗️MIT-0 -- pivottablejs (πŸ₯‰23 Β· ⭐ 660 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT +- pivottablejs (πŸ₯‰23 Β· ⭐ 670 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (πŸ₯‰22 Β· ⭐ 540 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT - vegafusion (πŸ₯‰21 Β· ⭐ 290) - Serverside scaling for Vega and Altair visualizations. BSD-3 - PyWaffle (πŸ₯‰20 Β· ⭐ 570 Β· πŸ’€) - Make Waffle Charts in Python. MIT @@ -1444,7 +1444,7 @@ _General-purpose and task-specific data visualization libraries._ - pdvega (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT - data-describe (πŸ₯‰15 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - nx-altair (πŸ₯‰15 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT -- nptsne (πŸ₯‰12 Β· ⭐ 32 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2 +- nptsne (πŸ₯‰13 Β· ⭐ 32 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

@@ -1456,28 +1456,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (πŸ₯‡51 Β· ⭐ 120K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.5K Β· πŸ”€ 25K Β· πŸ“¦ 160K Β· πŸ“‹ 15K - 7% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.5K Β· πŸ”€ 25K Β· πŸ“¦ 160K Β· πŸ“‹ 15K - 7% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 25M / month Β· πŸ“¦ 3.3K Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 26M / month Β· πŸ“¦ 3.3K Β· ⏱️ 23.04.2024): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.6M Β· ⏱️ 02.04.2024): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.6M Β· ⏱️ 25.04.2024): ``` conda install -c conda-forge transformers ```
spaCy (πŸ₯‡44 Β· ⭐ 29K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 750 Β· πŸ”€ 4.4K Β· πŸ“¦ 86K Β· πŸ“‹ 5.6K - 1% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 750 Β· πŸ”€ 4.3K Β· πŸ“¦ 86K Β· πŸ“‹ 5.6K - 1% open Β· ⏱️ 16.04.2024): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 8.3M / month Β· πŸ“¦ 3.1K Β· ⏱️ 15.02.2024): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 8.6M / month Β· πŸ“¦ 3.1K Β· ⏱️ 22.04.2024): ``` pip install spacy ``` @@ -1493,7 +1493,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 19M / month Β· πŸ“¦ 13K Β· ⏱️ 20.07.2023): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 20M / month Β· πŸ“¦ 13K Β· ⏱️ 20.07.2023): ``` pip install nltk ``` @@ -1504,28 +1504,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
sentence-transformers (πŸ₯‡41 Β· ⭐ 14K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.3K Β· πŸ“¦ 30K Β· πŸ“‹ 2K - 53% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.3K Β· πŸ“¦ 31K Β· πŸ“‹ 2K - 53% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 4.2M / month Β· πŸ“¦ 820 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 4.3M / month Β· πŸ“¦ 820 Β· ⏱️ 17.04.2024): ``` pip install sentence-transformers ``` -- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 220K Β· ⏱️ 17.04.2024): +- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 230K Β· ⏱️ 17.04.2024): ``` conda install -c conda-forge sentence-transformers ```
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litellm (πŸ₯‡41 Β· ⭐ 8K) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s +
litellm (πŸ₯‡41 Β· ⭐ 8.2K) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 860 Β· πŸ“₯ 220 Β· πŸ“¦ 1.5K Β· πŸ“‹ 2.1K - 25% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 880 Β· πŸ“₯ 250 Β· πŸ“¦ 1.5K Β· πŸ“‹ 2.2K - 26% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 550K / month Β· πŸ“¦ 100 Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 560K / month Β· πŸ“¦ 100 Β· ⏱️ 25.04.2024): ``` pip install litellm ``` @@ -1537,19 +1537,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/RasaHQ/rasa ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 120K / month Β· πŸ“¦ 67 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 110K / month Β· πŸ“¦ 67 Β· ⏱️ 18.04.2024): ``` pip install rasa ```
gensim (πŸ₯‡39 Β· ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1 -- [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.4K Β· πŸ“₯ 4.6K Β· πŸ“¦ 58K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 08.04.2024): +- [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.4K Β· πŸ“₯ 4.6K Β· πŸ“¦ 59K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 08.04.2024): ``` git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 5.1M / month Β· πŸ“¦ 3.2K Β· ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 5.2M / month Β· πŸ“¦ 3.2K Β· ⏱️ 24.08.2023): ``` pip install gensim ``` @@ -1569,42 +1569,42 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install flair ``` -- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 23K Β· ⏱️ 05.01.2024): +- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 24K Β· ⏱️ 05.01.2024): ``` conda install -c conda-forge python-flair ```
Tokenizers (πŸ₯‡38 Β· ⭐ 8.4K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 710 Β· πŸ“₯ 47 Β· πŸ“¦ 71K Β· πŸ“‹ 930 - 11% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 710 Β· πŸ“₯ 47 Β· πŸ“¦ 73K Β· πŸ“‹ 940 - 11% open Β· ⏱️ 17.04.2024): ``` git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 23M / month Β· πŸ“¦ 470 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 24M / month Β· πŸ“¦ 470 Β· ⏱️ 17.04.2024): ``` pip install tokenizers ``` -- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 1.5M Β· ⏱️ 18.04.2024): +- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 1.6M Β· ⏱️ 18.04.2024): ``` conda install -c conda-forge tokenizers ```
haystack (πŸ₯‡37 Β· ⭐ 14K) - LLM orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“₯ 24 Β· πŸ“¦ 1.2K Β· πŸ“‹ 3.2K - 6% open Β· ⏱️ 12.04.2024): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“₯ 24 Β· πŸ“¦ 1.2K Β· πŸ“‹ 3.2K - 5% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 3.7K / month Β· πŸ“¦ 87 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 3.9K / month Β· πŸ“¦ 87 Β· ⏱️ 15.12.2021): ``` pip install haystack ```
NeMo (πŸ₯‡37 Β· ⭐ 10K) - A scalable generative AI framework built for researchers and.. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 2.1K Β· πŸ“₯ 150K Β· πŸ“¦ 21 Β· πŸ“‹ 2.1K - 5% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.1K Β· πŸ“₯ 160K Β· πŸ“¦ 21 Β· πŸ“‹ 2.1K - 5% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/NVIDIA/NeMo @@ -1614,14 +1614,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install nemo-toolkit ```
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sentencepiece (πŸ₯‡37 Β· ⭐ 9.4K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 +
sentencepiece (πŸ₯‡37 Β· ⭐ 9.5K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 1.1K Β· πŸ“₯ 36K Β· πŸ“¦ 62K Β· πŸ“‹ 730 - 4% open Β· ⏱️ 14.04.2024): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 1.1K Β· πŸ“₯ 36K Β· πŸ“¦ 63K Β· πŸ“‹ 730 - 4% open Β· ⏱️ 14.04.2024): ``` git clone https://github.com/google/sentencepiece ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 21M / month Β· πŸ“¦ 1K Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 22M / month Β· πŸ“¦ 1K Β· ⏱️ 19.02.2024): ``` pip install sentencepiece ``` @@ -1632,12 +1632,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TextBlob (πŸ₯‡37 Β· ⭐ 8.9K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT -- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“₯ 120 Β· πŸ“¦ 38K Β· πŸ“‹ 280 - 39% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.1K Β· πŸ“₯ 120 Β· πŸ“¦ 38K Β· πŸ“‹ 280 - 39% open Β· ⏱️ 21.04.2024): ``` git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 950K / month Β· πŸ“¦ 1.5K Β· ⏱️ 22.10.2021): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 970K / month Β· πŸ“¦ 1.5K Β· ⏱️ 22.10.2021): ``` pip install textblob ``` @@ -1646,7 +1646,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge textblob ```
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fairseq (πŸ₯ˆ36 Β· ⭐ 29K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT +
spark-nlp (πŸ₯ˆ36 Β· ⭐ 3.7K) - State of the Art Natural Language Processing. Apache-2 + +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 700 Β· πŸ“¦ 420 Β· πŸ“‹ 880 - 5% open Β· ⏱️ 05.04.2024): + + ``` + git clone https://github.com/JohnSnowLabs/spark-nlp + ``` +- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 4M / month Β· πŸ“¦ 33 Β· ⏱️ 05.04.2024): + ``` + pip install spark-nlp + ``` +
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fairseq (πŸ₯ˆ35 Β· ⭐ 29K Β· πŸ“‰) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT - [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 6.2K Β· πŸ“₯ 330 Β· πŸ“¦ 3K Β· πŸ“‹ 4.3K - 28% open Β· ⏱️ 13.03.2024): @@ -1662,74 +1674,62 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge fairseq ```
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spark-nlp (πŸ₯ˆ36 Β· ⭐ 3.7K) - State of the Art Natural Language Processing. Apache-2 +
stanza (πŸ₯ˆ35 Β· ⭐ 7K Β· πŸ“ˆ) - Stanford NLP Python library for tokenization, sentence.. Apache-2 -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 700 Β· πŸ“¦ 410 Β· πŸ“‹ 880 - 5% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 870 Β· πŸ“¦ 2.7K Β· πŸ“‹ 880 - 11% open Β· ⏱️ 20.04.2024): ``` - git clone https://github.com/JohnSnowLabs/spark-nlp + git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 4M / month Β· πŸ“¦ 33 Β· ⏱️ 05.04.2024): +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 190K / month Β· πŸ“¦ 99 Β· ⏱️ 20.04.2024): ``` - pip install spark-nlp + pip install stanza + ``` +- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 7.4K Β· ⏱️ 16.06.2023): + ``` + conda install -c stanfordnlp stanza ```
OpenNMT (πŸ₯ˆ35 Β· ⭐ 6.6K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 260 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 18.03.2024): +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 270 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 18.03.2024): ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 12K / month Β· πŸ“¦ 18 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 13K / month Β· πŸ“¦ 18 Β· ⏱️ 18.03.2024): ``` pip install OpenNMT-py ```
torchtext (πŸ₯ˆ35 Β· ⭐ 3.4K) - Models, data loaders and abstractions for language processing,.. BSD-3 -- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 810 Β· πŸ“‹ 840 - 38% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 810 Β· πŸ“‹ 840 - 38% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 640K / month Β· πŸ“¦ 500 Β· ⏱️ 27.03.2024): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 610K / month Β· πŸ“¦ 500 Β· ⏱️ 24.04.2024): ``` pip install torchtext ```
fastText (πŸ₯ˆ34 Β· ⭐ 26K) - Library for fast text representation and classification. MIT -- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 4.7K Β· πŸ“¦ 5.8K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 13.03.2024): +- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 4.7K Β· πŸ“¦ 5.9K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.1M / month Β· πŸ“¦ 230 Β· ⏱️ 28.04.2020): +- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.2M / month Β· πŸ“¦ 230 Β· ⏱️ 28.04.2020): ``` pip install fasttext ``` -- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 76K Β· ⏱️ 26.09.2023): +- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 77K Β· ⏱️ 26.09.2023): ``` conda install -c conda-forge fasttext ```
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stanza (πŸ₯ˆ34 Β· ⭐ 7K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 - -- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 870 Β· πŸ“¦ 2.7K Β· πŸ“‹ 870 - 11% open Β· ⏱️ 01.03.2024): - - ``` - git clone https://github.com/stanfordnlp/stanza - ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 190K / month Β· πŸ“¦ 99 Β· ⏱️ 01.03.2024): - ``` - pip install stanza - ``` -- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 7.4K Β· ⏱️ 16.06.2023): - ``` - conda install -c stanfordnlp stanza - ``` -
TensorFlow Text (πŸ₯ˆ34 Β· ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 320 Β· πŸ“¦ 6.7K Β· πŸ“‹ 330 - 48% open Β· ⏱️ 13.03.2024): @@ -1737,30 +1737,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 6.7M / month Β· πŸ“¦ 140 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 6.8M / month Β· πŸ“¦ 140 Β· ⏱️ 11.03.2024): ``` pip install tensorflow-text ```
rubrix (πŸ₯ˆ33 Β· ⭐ 3.1K) - Argilla is a collaboration platform for AI engineers and domain.. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 300 Β· πŸ“¦ 2.4K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 300 Β· πŸ“¦ 2.4K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 420 / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 810 / month Β· ⏱️ 24.10.2022): ``` pip install rubrix ``` -- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 29K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 30K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge rubrix ```
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qdrant (πŸ₯ˆ32 Β· ⭐ 18K Β· πŸ“ˆ) - Qdrant - High-performance, massive-scale Vector Database for the.. Apache-2 +
qdrant (πŸ₯ˆ32 Β· ⭐ 18K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 1.2K Β· πŸ“₯ 25K Β· πŸ“¦ 110 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 01.04.2024): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.2K Β· πŸ“₯ 28K Β· πŸ“¦ 110 Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/qdrant/qdrant @@ -1773,7 +1773,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 9.2K / month Β· πŸ“¦ 7 Β· ⏱️ 13.03.2024): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 9.3K / month Β· πŸ“¦ 7 Β· ⏱️ 13.03.2024): ``` pip install deeppavlov ``` @@ -1785,7 +1785,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 4.8M / month Β· πŸ“¦ 670 Β· ⏱️ 15.03.2024): +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 4.7M / month Β· πŸ“¦ 680 Β· ⏱️ 15.03.2024): ``` pip install ftfy ``` @@ -1796,7 +1796,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
jellyfish (πŸ₯ˆ32 Β· ⭐ 2K) - a python library for doing approximate and phonetic matching of strings. MIT -- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 160 Β· πŸ“¦ 8.6K Β· πŸ“‹ 130 - 5% open Β· ⏱️ 28.03.2024): +- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 160 Β· πŸ“¦ 8.7K Β· πŸ“‹ 130 - 5% open Β· ⏱️ 28.03.2024): ``` git clone https://github.com/jamesturk/jellyfish @@ -1805,7 +1805,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install jellyfish ``` -- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 820K Β· ⏱️ 17.11.2023): +- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 830K Β· ⏱️ 17.11.2023): ``` conda install -c conda-forge jellyfish ``` @@ -1833,7 +1833,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/ParlAI ``` -- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 2K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 2.2K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): ``` pip install parlai ``` @@ -1845,7 +1845,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 72K / month Β· πŸ“¦ 50 Β· ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 74K / month Β· πŸ“¦ 50 Β· ⏱️ 17.02.2023): ``` pip install dedupe ``` @@ -1861,67 +1861,67 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 490K / month Β· πŸ“¦ 110 Β· ⏱️ 23.10.2022): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 460K / month Β· πŸ“¦ 110 Β· ⏱️ 23.10.2022): ``` pip install sumy ``` -- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 7.6K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 7.7K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sumy ```
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SciSpacy (πŸ₯ˆ30 Β· ⭐ 1.6K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 +
TextDistance (πŸ₯ˆ30 Β· ⭐ 3.3K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT -- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 220 Β· πŸ“¦ 870 Β· πŸ“‹ 310 - 9% open Β· ⏱️ 30.03.2024): +- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 240 Β· πŸ“₯ 1K Β· πŸ“¦ 6.2K Β· ⏱️ 24.04.2024): ``` - git clone https://github.com/allenai/scispacy + git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 26K / month Β· πŸ“¦ 31 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 730K / month Β· πŸ“¦ 71 Β· ⏱️ 24.04.2024): ``` - pip install scispacy + pip install textdistance + ``` +- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 540K Β· ⏱️ 25.04.2024): + ``` + conda install -c conda-forge textdistance ```
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TextDistance (πŸ₯ˆ29 Β· ⭐ 3.3K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT +
SciSpacy (πŸ₯ˆ30 Β· ⭐ 1.6K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 250 Β· πŸ“₯ 1K Β· πŸ“¦ 6.1K Β· ⏱️ 29.12.2023): +- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 220 Β· πŸ“¦ 880 Β· πŸ“‹ 310 - 9% open Β· ⏱️ 30.03.2024): ``` - git clone https://github.com/life4/textdistance - ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 710K / month Β· πŸ“¦ 69 Β· ⏱️ 29.12.2023): - ``` - pip install textdistance + git clone https://github.com/allenai/scispacy ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 530K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 27K / month Β· πŸ“¦ 31 Β· ⏱️ 08.03.2024): ``` - conda install -c conda-forge textdistance + pip install scispacy ```
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spacy-transformers (πŸ₯ˆ29 Β· ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy +
spacy-transformers (πŸ₯ˆ30 Β· ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy -- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“¦ 1.6K Β· ⏱️ 19.12.2023): +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“¦ 1.6K Β· ⏱️ 25.04.2024): ``` git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 210K / month Β· πŸ“¦ 45 Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 220K / month Β· πŸ“¦ 51 Β· ⏱️ 25.04.2024): ``` pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 29K Β· ⏱️ 19.12.2023): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 30K Β· ⏱️ 19.12.2023): ``` conda install -c conda-forge spacy-transformers ```
CLTK (πŸ₯ˆ28 Β· ⭐ 820) - The Classical Language Toolkit. MIT -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 64 Β· πŸ“¦ 260 Β· πŸ“‹ 570 - 7% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 64 Β· πŸ“¦ 260 Β· πŸ“‹ 570 - 6% open Β· ⏱️ 20.04.2024): ``` git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 1.4K / month Β· πŸ“¦ 42 Β· ⏱️ 15.04.2024): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 1.8K / month Β· πŸ“¦ 42 Β· ⏱️ 20.04.2024): ``` pip install cltk ``` @@ -1937,19 +1937,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install ciphey ``` -- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (πŸ“₯ 23K Β· ⭐ 17 Β· ⏱️ 14.10.2023): +- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (πŸ“₯ 24K Β· ⭐ 17 Β· ⏱️ 14.10.2023): ``` docker pull remnux/ciphey ```
DeepKE (πŸ₯‰27 Β· ⭐ 2.9K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 620 Β· πŸ“¦ 21 Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 620 Β· πŸ“¦ 21 Β· πŸ“‹ 450 - 0% open Β· ⏱️ 18.04.2024): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 950 / month Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 1K / month Β· ⏱️ 21.09.2023): ``` pip install deepke ``` @@ -1972,12 +1972,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
PyTextRank (πŸ₯‰27 Β· ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 380 Β· πŸ“¦ 620 Β· πŸ“‹ 99 - 7% open Β· ⏱️ 21.02.2024): +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 380 Β· πŸ“¦ 630 Β· πŸ“‹ 99 - 7% open Β· ⏱️ 21.02.2024): ``` git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 43K / month Β· πŸ“¦ 17 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 42K / month Β· πŸ“¦ 17 Β· ⏱️ 21.02.2024): ``` pip install pytextrank ``` @@ -1989,63 +1989,75 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/PetrochukM/PyTorch-NLP ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 8.4K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): +- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 8.7K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): ``` pip install pytorch-nlp ```
sense2vec (πŸ₯‰25 Β· ⭐ 1.6K Β· πŸ’€) - Contextually-keyed word vectors. MIT -- [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“₯ 65K Β· πŸ“¦ 350 Β· πŸ“‹ 110 - 20% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“₯ 65K Β· πŸ“¦ 360 Β· πŸ“‹ 110 - 20% open Β· ⏱️ 20.04.2023): ``` git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 2.8K / month Β· πŸ“¦ 14 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 3.1K / month Β· πŸ“¦ 14 Β· ⏱️ 19.04.2021): ``` pip install sense2vec ``` -- [Conda](https://anaconda.org/conda-forge/sense2vec) (πŸ“₯ 36K Β· ⏱️ 22.09.2023): +- [Conda](https://anaconda.org/conda-forge/sense2vec) (πŸ“₯ 37K Β· ⏱️ 22.09.2023): ``` conda install -c conda-forge sense2vec ```
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OpenPrompt (πŸ₯‰24 Β· ⭐ 4.1K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 +
OpenPrompt (πŸ₯‰24 Β· ⭐ 4.2K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 - [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 420 Β· πŸ“¦ 110 Β· πŸ“‹ 250 - 30% open Β· ⏱️ 06.05.2023): ``` git clone https://github.com/thunlp/OpenPrompt ``` -- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 960 / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 890 / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): ``` pip install openprompt ```
promptsource (πŸ₯‰24 Β· ⭐ 2.5K) - Toolkit for creating, sharing and using natural language.. Apache-2 -- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 320 Β· πŸ“¦ 88 Β· πŸ“‹ 200 - 24% open Β· ⏱️ 23.10.2023): +- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 320 Β· πŸ“¦ 91 Β· πŸ“‹ 200 - 24% open Β· ⏱️ 23.10.2023): ``` git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 330 / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 350 / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): ``` pip install promptsource ```
detoxify (πŸ₯‰24 Β· ⭐ 840) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“₯ 450K Β· πŸ“¦ 570 Β· πŸ“‹ 62 - 56% open Β· ⏱️ 01.02.2024): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“₯ 460K Β· πŸ“¦ 580 Β· πŸ“‹ 62 - 56% open Β· ⏱️ 01.02.2024): ``` git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 31K / month Β· πŸ“¦ 15 Β· ⏱️ 01.02.2024): +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 27K / month Β· πŸ“¦ 15 Β· ⏱️ 01.02.2024): ``` pip install detoxify ```
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T5 (πŸ₯‰23 Β· ⭐ 5.9K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 + +- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 740 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 23.01.2024): + + ``` + git clone https://github.com/google-research/text-to-text-transfer-transformer + ``` +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 41K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): + ``` + pip install t5 + ``` +
Texthero (πŸ₯‰23 Β· ⭐ 2.9K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT - [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 240 Β· πŸ“₯ 120 Β· πŸ“‹ 140 - 55% open Β· ⏱️ 29.08.2023): @@ -2058,16 +2070,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install texthero ```
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T5 (πŸ₯‰22 Β· ⭐ 5.9K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 +
fast-bert (πŸ₯‰22 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 -- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 740 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 23.01.2024): +- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“‹ 260 - 62% open Β· ⏱️ 30.01.2024): ``` - git clone https://github.com/google-research/text-to-text-transfer-transformer + git clone https://github.com/utterworks/fast-bert ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 39K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2024): ``` - pip install t5 + pip install fast-bert ```
Sockeye (πŸ₯‰22 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 @@ -2077,7 +2089,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 350 / month Β· πŸ“¦ 2 Β· ⏱️ 03.03.2023): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 850 / month Β· πŸ“¦ 2 Β· ⏱️ 03.03.2023): ``` pip install sockeye ``` @@ -2089,31 +2101,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 2.9K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 3.1K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` pip install happytransformer ```
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fast-bert (πŸ₯‰21 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 +
UForm (πŸ₯‰21 Β· ⭐ 870) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 -- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“‹ 260 - 62% open Β· ⏱️ 30.01.2024): - - ``` - git clone https://github.com/utterworks/fast-bert - ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2024): - ``` - pip install fast-bert - ``` -
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UForm (πŸ₯‰21 Β· ⭐ 860) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 - -- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 48 Β· πŸ“₯ 200 Β· πŸ“¦ 24 Β· πŸ“‹ 24 - 20% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 49 Β· πŸ“₯ 210 Β· πŸ“¦ 6 Β· πŸ“‹ 23 - 17% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 25.04.2024): ``` pip install uform ``` @@ -2125,7 +2125,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 150 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 200 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): ``` pip install finetune ``` @@ -2137,37 +2137,37 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 460 / month Β· ⏱️ 29.12.2023): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 570 / month Β· ⏱️ 29.12.2023): ``` pip install small-text ``` -- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 5.5K Β· ⏱️ 29.12.2023): +- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 5.6K Β· ⏱️ 29.12.2023): ``` conda install -c conda-forge small-text ```
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textaugment (πŸ₯‰20 Β· ⭐ 370) - TextAugment: Text Augmentation Library. MIT +
lightseq (πŸ₯‰20 Β· ⭐ 3.1K Β· πŸ’€) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2 -- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 61 Β· πŸ“₯ 65 Β· πŸ“¦ 88 Β· πŸ“‹ 29 - 37% open Β· ⏱️ 17.11.2023): +- [GitHub](https://github.com/bytedance/lightseq) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 320 Β· πŸ“₯ 670 Β· πŸ“‹ 280 - 61% open Β· ⏱️ 10.05.2023): ``` - git clone https://github.com/dsfsi/textaugment + git clone https://github.com/bytedance/lightseq ``` -- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 4.3K / month Β· πŸ“¦ 4 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 2.2K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): ``` - pip install textaugment + pip install lightseq ```
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lightseq (πŸ₯‰19 Β· ⭐ 3.1K Β· πŸ’€) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2 +
textaugment (πŸ₯‰20 Β· ⭐ 370) - TextAugment: Text Augmentation Library. MIT -- [GitHub](https://github.com/bytedance/lightseq) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 320 Β· πŸ“₯ 670 Β· πŸ“‹ 280 - 61% open Β· ⏱️ 10.05.2023): +- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 61 Β· πŸ“₯ 65 Β· πŸ“¦ 91 Β· πŸ“‹ 29 - 37% open Β· ⏱️ 17.11.2023): ``` - git clone https://github.com/bytedance/lightseq + git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): +- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 4.4K / month Β· πŸ“¦ 4 Β· ⏱️ 16.11.2023): ``` - pip install lightseq + pip install textaugment ```
OpenNRE (πŸ₯‰17 Β· ⭐ 4.2K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT @@ -2178,7 +2178,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we git clone https://github.com/thunlp/OpenNRE ```
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TextBox (πŸ₯‰16 Β· ⭐ 1K Β· πŸ’€) - TextBox 2.0 is a text generation library with pre-trained language.. MIT +
TextBox (πŸ₯‰16 Β· ⭐ 1.1K Β· πŸ’€) - TextBox 2.0 is a text generation library with pre-trained language.. MIT - [GitHub](https://github.com/RUCAIBox/TextBox) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 6 Β· πŸ“‹ 72 - 4% open Β· ⏱️ 18.05.2023): @@ -2190,14 +2190,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install textbox ```
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VizSeq (πŸ₯‰14 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
VizSeq (πŸ₯‰15 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT -- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 58 Β· πŸ“¦ 9 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 12.03.2024): +- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 58 Β· πŸ“¦ 9 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 21.04.2024): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 71 / month Β· ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 90 / month Β· ⏱️ 07.08.2020): ``` pip install vizseq ``` @@ -2210,23 +2210,22 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - nlpaug (πŸ₯ˆ29 Β· ⭐ 4.3K Β· πŸ’€) - Data augmentation for NLP. MIT - GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.5K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - langid (πŸ₯ˆ29 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. BSD-3 -- english-words (πŸ₯ˆ28 Β· ⭐ 10K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense - vaderSentiment (πŸ₯ˆ28 Β· ⭐ 4.2K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT -- fastNLP (πŸ₯‰27 Β· ⭐ 3K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 +- fastNLP (πŸ₯ˆ28 Β· ⭐ 3K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 +- english-words (πŸ₯‰27 Β· ⭐ 10K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense - polyglot (πŸ₯‰27 Β· ⭐ 2.3K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - textacy (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - NLP, before and after spaCy. ❗Unlicensed - flashtext (πŸ₯‰26 Β· ⭐ 5.5K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT - underthesea (πŸ₯‰26 Β· ⭐ 1.3K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 +- PyText (πŸ₯‰25 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 - Snips NLU (πŸ₯‰25 Β· ⭐ 3.9K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - neuralcoref (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - pySBD (πŸ₯‰25 Β· ⭐ 730 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - whoosh (πŸ₯‰25 Β· ⭐ 530 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause -- PyText (πŸ₯‰24 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 - textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT - MatchZoo (πŸ₯‰24 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - Kashgari (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 - FARM (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 -- YouTokenToMe (πŸ₯‰23 Β· ⭐ 940 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT - stop-words (πŸ₯‰23 Β· ⭐ 160 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 - DeepMatcher (πŸ₯‰22 Β· ⭐ 5K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 - gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.4K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT @@ -2234,13 +2233,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - jiant (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - jiant is an nlp toolkit. MIT - NLP Architect (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 - DELTA (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 +- YouTokenToMe (πŸ₯‰21 Β· ⭐ 940 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT - anaGo (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - pyfasttext (πŸ₯‰20 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 - fastT5 (πŸ₯‰19 Β· ⭐ 540 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - numerizer (πŸ₯‰19 Β· ⭐ 210 Β· πŸ’€) - A Python module to convert natural language numerics into ints and.. MIT +- NeuroNER (πŸ₯‰18 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - Camphr (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - textpipe (πŸ₯‰18 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT -- NeuroNER (πŸ₯‰17 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - nboost (πŸ₯‰17 Β· ⭐ 670 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - skift (πŸ₯‰16 Β· ⭐ 240 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT - BLINK (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ’€) - Entity Linker solution. MIT @@ -2262,12 +2262,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡48 Β· ⭐ 12K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.6M Β· πŸ“‹ 3.1K - 2% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.6M Β· πŸ“‹ 3.1K - 2% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 94M / month Β· πŸ“¦ 1.7K Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 95M / month Β· πŸ“¦ 1.7K Β· ⏱️ 01.04.2024): ``` pip install Pillow ``` @@ -2278,28 +2278,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well
torchvision (πŸ₯‡42 Β· ⭐ 15K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 6.8K Β· πŸ“₯ 37K Β· πŸ“¦ 21 Β· πŸ“‹ 3.4K - 29% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 6.8K Β· πŸ“₯ 38K Β· πŸ“¦ 21 Β· πŸ“‹ 3.4K - 29% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 11M / month Β· πŸ“¦ 5.3K Β· ⏱️ 27.03.2024): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 12M / month Β· πŸ“¦ 5.3K Β· ⏱️ 24.04.2024): ``` pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 1M Β· ⏱️ 26.02.2024): +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 1.1M Β· ⏱️ 26.02.2024): ``` conda install -c conda-forge torchvision ```
PyTorch Image Models (πŸ₯‡41 Β· ⭐ 30K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 4.6K Β· πŸ“₯ 6.4M Β· πŸ“¦ 27K Β· πŸ“‹ 860 - 7% open Β· ⏱️ 11.04.2024): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 4.6K Β· πŸ“₯ 6.5M Β· πŸ“¦ 27K Β· πŸ“‹ 860 - 7% open Β· ⏱️ 11.04.2024): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 4.8M / month Β· πŸ“¦ 440 Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 4.9M / month Β· πŸ“¦ 450 Β· ⏱️ 19.02.2024): ``` pip install timm ``` @@ -2322,12 +2322,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Albumentations (πŸ₯‡38 Β· ⭐ 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.6K Β· πŸ“¦ 22K Β· πŸ“‹ 920 - 47% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.6K Β· πŸ“¦ 23K Β· πŸ“‹ 920 - 46% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 1.7M / month Β· πŸ“¦ 370 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 1.8M / month Β· πŸ“¦ 370 Β· ⏱️ 17.04.2024): ``` pip install albumentations ``` @@ -2338,12 +2338,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Kornia (πŸ₯‡38 Β· ⭐ 9.4K) - Geometric Computer Vision Library for Spatial AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 920 Β· πŸ“₯ 1.1K Β· πŸ“¦ 9.3K Β· πŸ“‹ 900 - 29% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 930 Β· πŸ“₯ 1.1K Β· πŸ“¦ 9.4K Β· πŸ“‹ 900 - 29% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 1.6M / month Β· πŸ“¦ 140 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 1.5M / month Β· πŸ“¦ 140 Β· ⏱️ 14.03.2024): ``` pip install kornia ``` @@ -2359,7 +2359,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 910K / month Β· πŸ“¦ 1K Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 940K / month Β· πŸ“¦ 1.1K Β· ⏱️ 15.12.2021): ``` pip install moviepy ``` @@ -2368,54 +2368,54 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge moviepy ```
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deepface (πŸ₯ˆ37 Β· ⭐ 9.9K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT +
deepface (πŸ₯ˆ37 Β· ⭐ 10K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 1.8K Β· πŸ“¦ 2.9K Β· πŸ“‹ 1K - 0% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 1.8K Β· πŸ“¦ 3K Β· πŸ“‹ 1K - 0% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/serengil/deepface ``` -- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 64K / month Β· πŸ“¦ 22 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 63K / month Β· πŸ“¦ 22 Β· ⏱️ 16.04.2024): ``` pip install deepface ```
imageio (πŸ₯ˆ37 Β· ⭐ 1.4K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“₯ 1K Β· πŸ“¦ 120K Β· πŸ“‹ 590 - 16% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“₯ 1K Β· πŸ“¦ 120K Β· πŸ“‹ 600 - 17% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 22M / month Β· πŸ“¦ 3.2K Β· ⏱️ 12.02.2024): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 22M / month Β· πŸ“¦ 3.2K Β· ⏱️ 22.04.2024): ``` pip install imageio ``` -- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 6.2M Β· ⏱️ 12.02.2024): +- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 6.2M Β· ⏱️ 22.04.2024): ``` conda install -c conda-forge imageio ```
opencv-python (πŸ₯ˆ36 Β· ⭐ 4.2K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 830 Β· πŸ“¦ 380K Β· πŸ“‹ 760 - 12% open Β· ⏱️ 31.12.2023): +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 830 Β· πŸ“¦ 380K Β· πŸ“‹ 760 - 13% open Β· ⏱️ 31.12.2023): ``` git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 13M / month Β· πŸ“¦ 12K Β· ⏱️ 31.12.2023): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 14M / month Β· πŸ“¦ 12K Β· ⏱️ 31.12.2023): ``` pip install opencv-python ```
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InsightFace (πŸ₯ˆ35 Β· ⭐ 21K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. MIT +
InsightFace (πŸ₯ˆ35 Β· ⭐ 21K) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 5.1K Β· πŸ“₯ 2.8M Β· πŸ“¦ 2K Β· πŸ“‹ 2.4K - 43% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 5.1K Β· πŸ“₯ 2.9M Β· πŸ“¦ 2K Β· πŸ“‹ 2.4K - 44% open Β· ⏱️ 16.04.2024): ``` git clone https://github.com/deepinsight/insightface ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 420K / month Β· πŸ“¦ 11 Β· ⏱️ 17.12.2022): +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 400K / month Β· πŸ“¦ 13 Β· ⏱️ 17.12.2022): ``` pip install insightface ``` @@ -2427,18 +2427,18 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 880K / month Β· πŸ“¦ 720 Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 840K / month Β· πŸ“¦ 720 Β· ⏱️ 03.11.2023): ``` pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 40K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 41K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge wand ```
detectron2 (πŸ₯ˆ34 Β· ⭐ 29K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.3K Β· πŸ“¦ 1.7K Β· πŸ“‹ 3.5K - 13% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.3K Β· πŸ“¦ 1.7K Β· πŸ“‹ 3.5K - 13% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/facebookresearch/detectron2 @@ -2447,26 +2447,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install detectron2 ``` -- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 230K Β· ⏱️ 18.01.2024): +- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 240K Β· ⏱️ 18.01.2024): ``` conda install -c conda-forge detectron2 ```
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PaddleSeg (πŸ₯ˆ32 Β· ⭐ 8.2K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 +
PaddleSeg (πŸ₯ˆ32 Β· ⭐ 8.3K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“¦ 1.2K Β· πŸ“‹ 2.1K - 14% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 2.9K / month Β· πŸ“¦ 4 Β· ⏱️ 30.11.2022): +- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 2.7K / month Β· πŸ“¦ 4 Β· ⏱️ 30.11.2022): ``` pip install paddleseg ```
doctr (πŸ₯ˆ32 Β· ⭐ 3K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 350 Β· πŸ“₯ 2.8M Β· πŸ“¦ 280 Β· πŸ“‹ 320 - 10% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 350 Β· πŸ“₯ 2.8M Β· πŸ“¦ 280 Β· πŸ“‹ 330 - 10% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/mindee/doctr @@ -2478,84 +2478,84 @@ _Libraries for image & video processing, manipulation, and augmentation as well
lightly (πŸ₯ˆ31 Β· ⭐ 2.7K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 230 Β· πŸ“¦ 240 Β· πŸ“‹ 510 - 18% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 240 Β· πŸ“¦ 240 Β· πŸ“‹ 520 - 19% open Β· ⏱️ 17.04.2024): ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 26K / month Β· πŸ“¦ 7 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 28K / month Β· πŸ“¦ 7 Β· ⏱️ 17.04.2024): ``` pip install lightly ```
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imageai (πŸ₯ˆ30 Β· ⭐ 8.4K) - A python library built to empower developers to build applications and.. MIT +
vit-pytorch (πŸ₯ˆ30 Β· ⭐ 18K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.2K Β· πŸ“₯ 920K Β· πŸ“¦ 1.6K Β· πŸ“‹ 760 - 41% open Β· ⏱️ 20.02.2024): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 2.8K Β· πŸ“¦ 440 Β· πŸ“‹ 260 - 46% open Β· ⏱️ 18.04.2024): ``` - git clone https://github.com/OlafenwaMoses/ImageAI - ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 7.4K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): - ``` - pip install imageai + git clone https://github.com/lucidrains/vit-pytorch ``` -- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 6.9K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 23K / month Β· πŸ“¦ 6 Β· ⏱️ 18.04.2024): ``` - conda install -c conda-forge imageai + pip install vit-pytorch ```
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ImageHash (πŸ₯ˆ30 Β· ⭐ 3K) - A Python Perceptual Image Hashing Module. BSD-2 +
imageai (πŸ₯ˆ30 Β· ⭐ 8.4K) - A python library built to empower developers to build applications and.. MIT -- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 320 Β· πŸ“¦ 13K Β· πŸ“‹ 140 - 11% open Β· ⏱️ 24.10.2023): +- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.2K Β· πŸ“₯ 920K Β· πŸ“¦ 1.6K Β· πŸ“‹ 760 - 40% open Β· ⏱️ 20.02.2024): ``` - git clone https://github.com/JohannesBuchner/imagehash + git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.5M / month Β· πŸ“¦ 390 Β· ⏱️ 28.09.2022): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 6.9K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): ``` - pip install ImageHash + pip install imageai ``` -- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 360K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 7K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge imagehash + conda install -c conda-forge imageai ```
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vit-pytorch (πŸ₯ˆ29 Β· ⭐ 18K) - Implementation of Vision Transformer, a simple way to achieve.. MIT +
sahi (πŸ₯ˆ30 Β· ⭐ 3.6K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 2.8K Β· πŸ“¦ 440 Β· πŸ“‹ 250 - 46% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 520 Β· πŸ“₯ 24K Β· πŸ“¦ 1K Β· ⏱️ 22.04.2024): ``` - git clone https://github.com/lucidrains/vit-pytorch + git clone https://github.com/obss/sahi ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 21K / month Β· πŸ“¦ 6 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 120K / month Β· πŸ“¦ 13 Β· ⏱️ 05.11.2023): ``` - pip install vit-pytorch + pip install sahi + ``` +- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 56K Β· ⏱️ 06.11.2023): + ``` + conda install -c conda-forge sahi ```
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sahi (πŸ₯ˆ29 Β· ⭐ 3.5K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT +
ImageHash (πŸ₯ˆ30 Β· ⭐ 3K) - A Python Perceptual Image Hashing Module. BSD-2 -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 520 Β· πŸ“₯ 24K Β· πŸ“¦ 1K Β· ⏱️ 08.04.2024): +- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 320 Β· πŸ“¦ 13K Β· πŸ“‹ 140 - 11% open Β· ⏱️ 24.10.2023): ``` - git clone https://github.com/obss/sahi + git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 120K / month Β· πŸ“¦ 13 Β· ⏱️ 05.11.2023): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.6M / month Β· πŸ“¦ 400 Β· ⏱️ 28.09.2022): ``` - pip install sahi + pip install ImageHash ``` -- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 55K Β· ⏱️ 06.11.2023): +- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 360K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge sahi + conda install -c conda-forge imagehash ```
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mahotas (πŸ₯ˆ29 Β· ⭐ 830) - Computer Vision in Python. MIT +
mahotas (πŸ₯‰29 Β· ⭐ 830) - Computer Vision in Python. MIT -- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 150 Β· πŸ“¦ 1.2K Β· πŸ“‹ 90 - 24% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 150 Β· πŸ“¦ 1.2K Β· πŸ“‹ 90 - 23% open Β· ⏱️ 17.04.2024): ``` git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 14K / month Β· πŸ“¦ 130 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 15K / month Β· πŸ“¦ 130 Β· ⏱️ 17.04.2024): ``` pip install mahotas ``` @@ -2571,7 +2571,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 780 / month Β· πŸ“¦ 1 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 770 / month Β· πŸ“¦ 1 Β· ⏱️ 19.09.2022): ``` pip install paddledet ``` @@ -2583,31 +2583,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 78K / month Β· πŸ“¦ 12 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 82K / month Β· πŸ“¦ 12 Β· ⏱️ 17.08.2023): ``` pip install face-alignment ```
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facenet-pytorch (πŸ₯‰27 Β· ⭐ 4.1K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT +
facenet-pytorch (πŸ₯‰27 Β· ⭐ 4.2K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 830 Β· πŸ“₯ 890K Β· πŸ“¦ 1.7K Β· πŸ“‹ 170 - 37% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 830 Β· πŸ“₯ 900K Β· πŸ“¦ 1.7K Β· πŸ“‹ 170 - 38% open Β· ⏱️ 05.04.2024): ``` git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 50K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 54K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): ``` pip install facenet-pytorch ```
vidgear (πŸ₯‰27 Β· ⭐ 3.2K Β· πŸ’€) - A High-performance cross-platform Video Processing Python.. Apache-2 -- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 240 Β· πŸ“₯ 1.1K Β· πŸ“¦ 520 Β· πŸ“‹ 280 - 2% open Β· ⏱️ 10.09.2023): +- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 240 Β· πŸ“₯ 1.2K Β· πŸ“¦ 520 Β· πŸ“‹ 280 - 2% open Β· ⏱️ 10.09.2023): ``` git clone https://github.com/abhiTronix/vidgear ``` -- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 14K / month Β· πŸ“¦ 9 Β· ⏱️ 10.09.2023): +- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 15K / month Β· πŸ“¦ 9 Β· ⏱️ 10.09.2023): ``` pip install vidgear ``` @@ -2626,7 +2626,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
CellProfiler (πŸ₯‰27 Β· ⭐ 860) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 360 Β· πŸ“₯ 6.8K Β· πŸ“¦ 20 Β· πŸ“‹ 3.3K - 8% open Β· ⏱️ 07.02.2024): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 360 Β· πŸ“₯ 6.8K Β· πŸ“¦ 20 Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 07.02.2024): ``` git clone https://github.com/CellProfiler/CellProfiler @@ -2643,7 +2643,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 61K / month Β· πŸ“¦ 12 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 64K / month Β· πŸ“¦ 12 Β· ⏱️ 20.01.2022): ``` pip install pytorchvideo ``` @@ -2660,18 +2660,30 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install imagededup ```
+
ffcv (πŸ₯‰25 Β· ⭐ 2.7K Β· πŸ“ˆ) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 + +- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“¦ 43 Β· πŸ“‹ 270 - 35% open Β· ⏱️ 21.01.2024): + + ``` + git clone https://github.com/libffcv/ffcv + ``` +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): + ``` + pip install ffcv + ``` +
pyvips (πŸ₯‰25 Β· ⭐ 580) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 51 Β· πŸ“¦ 700 Β· πŸ“‹ 400 - 41% open Β· ⏱️ 01.04.2024): +- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 50 Β· πŸ“¦ 700 Β· πŸ“‹ 400 - 41% open Β· ⏱️ 18.04.2024): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 44K / month Β· πŸ“¦ 50 Β· ⏱️ 04.01.2024): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 39K / month Β· πŸ“¦ 50 Β· ⏱️ 04.01.2024): ``` pip install pyvips ``` -- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 76K Β· ⏱️ 26.09.2023): +- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 78K Β· ⏱️ 26.09.2023): ``` conda install -c conda-forge pyvips ``` @@ -2688,14 +2700,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install tensorflow-graphics ```
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kubric (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ“ˆ) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 +
kubric (πŸ₯‰24 Β· ⭐ 2.2K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 - [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 200 Β· πŸ“¦ 3 Β· πŸ“‹ 190 - 32% open Β· ⏱️ 04.04.2024): ``` git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 2.7K / month Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 5.3K / month Β· ⏱️ 27.12.2023): ``` pip install kubric-nightly ``` @@ -2707,31 +2719,11 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 400 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 520 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` pip install mmf ```
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ffcv (πŸ₯‰23 Β· ⭐ 2.7K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 - -- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“¦ 42 Β· πŸ“‹ 270 - 36% open Β· ⏱️ 21.01.2024): - - ``` - git clone https://github.com/libffcv/ffcv - ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 780 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): - ``` - pip install ffcv - ``` -
-
DEβ«ΆTR (πŸ₯‰21 Β· ⭐ 13K) - End-to-End Object Detection with Transformers. Apache-2 - -- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 2.2K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 47% open Β· ⏱️ 12.03.2024): - - ``` - git clone https://github.com/facebookresearch/detr - ``` -
PySlowFast (πŸ₯‰21 Β· ⭐ 6.3K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 - [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.2K Β· πŸ“¦ 15 Β· πŸ“‹ 660 - 57% open Β· ⏱️ 19.10.2023): @@ -2739,7 +2731,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 30 / month Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 42 / month Β· ⏱️ 15.01.2020): ``` pip install pyslowfast ``` @@ -2756,6 +2748,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install pycls ```
+
DEβ«ΆTR (πŸ₯‰20 Β· ⭐ 13K) - End-to-End Object Detection with Transformers. Apache-2 + +- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 2.2K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 47% open Β· ⏱️ 12.03.2024): + + ``` + git clone https://github.com/facebookresearch/detr + ``` +
vissl (πŸ₯‰20 Β· ⭐ 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT - [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 320 Β· πŸ“‹ 180 - 42% open Β· ⏱️ 03.03.2024): @@ -2763,14 +2763,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 140 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 170 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): ``` pip install vissl ```
scenic (πŸ₯‰18 Β· ⭐ 3K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 -- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 390 Β· πŸ“‹ 260 - 57% open Β· ⏱️ 12.04.2024): +- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 400 Β· πŸ“‹ 260 - 57% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/google-research/scenic @@ -2796,7 +2796,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well - Face Recognition (πŸ₯ˆ33 Β· ⭐ 52K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT - PyTorch3D (πŸ₯ˆ32 Β· ⭐ 8.3K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imutils (πŸ₯ˆ31 Β· ⭐ 4.5K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT -- GluonCV (πŸ₯‰28 Β· ⭐ 5.8K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 +- GluonCV (πŸ₯‰29 Β· ⭐ 5.8K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 - layout-parser (πŸ₯‰28 Β· ⭐ 4.4K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - Augmentor (πŸ₯‰27 Β· ⭐ 5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT - mtcnn (πŸ₯‰27 Β· ⭐ 2.1K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT @@ -2807,8 +2807,8 @@ _Libraries for image & video processing, manipulation, and augmentation as well - Luminoth (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 - deep-daze (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT - icevision (πŸ₯‰22 Β· ⭐ 840 Β· πŸ’€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2 +- image-match (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - Quickly search over billions of images. Apache-2 - Classy Vision (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT -- image-match (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - Quickly search over billions of images. Apache-2 - nude.py (πŸ₯‰20 Β· ⭐ 920 Β· πŸ’€) - Nudity detection with Python. MIT - detecto (πŸ₯‰20 Β· ⭐ 610 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - solt (πŸ₯‰18 Β· ⭐ 260 Β· πŸ’€) - Streaming over lightweight data transformations. MIT @@ -2825,12 +2825,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (πŸ₯‡44 Β· ⭐ 14K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 3.1K Β· πŸ“₯ 67 Β· πŸ“¦ 240K Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 3.1K Β· πŸ“₯ 67 Β· πŸ“¦ 250K Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 50M / month Β· πŸ“¦ 16K Β· ⏱️ 06.04.2024): +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 51M / month Β· πŸ“¦ 16K Β· ⏱️ 06.04.2024): ``` pip install networkx ``` @@ -2839,61 +2839,61 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge networkx ```
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dgl (πŸ₯‡39 Β· ⭐ 13K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 +
dgl (πŸ₯‡38 Β· ⭐ 13K Β· πŸ“‰) - Python package built to ease deep learning on graph, on top of.. Apache-2 -- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.9K Β· πŸ“¦ 230 Β· πŸ“‹ 2.7K - 17% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.9K Β· πŸ“¦ 230 Β· πŸ“‹ 2.8K - 17% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 94K / month Β· πŸ“¦ 89 Β· ⏱️ 05.03.2024): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 92K / month Β· πŸ“¦ 89 Β· ⏱️ 05.03.2024): ``` pip install dgl ```
PyTorch Geometric (πŸ₯‡37 Β· ⭐ 20K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 3.5K Β· πŸ“‹ 3.5K - 26% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 3.5K Β· πŸ“‹ 3.6K - 26% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 250K / month Β· πŸ“¦ 160 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 280K / month Β· πŸ“¦ 160 Β· ⏱️ 19.04.2024): ``` pip install torch-geometric ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 39K Β· ⏱️ 22.02.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 40K Β· ⏱️ 22.02.2024): ``` conda install -c conda-forge pytorch_geometric ```
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pygraphistry (πŸ₯ˆ30 Β· ⭐ 2.1K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 +
AmpliGraph (πŸ₯ˆ30 Β· ⭐ 2.1K) - Python library for Representation Learning on Knowledge.. Apache-2 -- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 200 Β· πŸ“¦ 110 Β· πŸ“‹ 320 - 51% open Β· ⏱️ 06.04.2024): +- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 250 Β· πŸ“¦ 49 Β· πŸ“‹ 220 - 15% open Β· ⏱️ 28.02.2024): ``` - git clone https://github.com/graphistry/pygraphistry + git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 3.4K / month Β· πŸ“¦ 7 Β· ⏱️ 06.04.2024): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.1K / month Β· ⏱️ 26.02.2024): ``` - pip install graphistry + pip install ampligraph ```
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AmpliGraph (πŸ₯ˆ29 Β· ⭐ 2.1K) - Python library for Representation Learning on Knowledge.. Apache-2 +
pygraphistry (πŸ₯ˆ30 Β· ⭐ 2.1K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 250 Β· πŸ“¦ 49 Β· πŸ“‹ 220 - 15% open Β· ⏱️ 28.02.2024): +- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 200 Β· πŸ“¦ 110 Β· πŸ“‹ 320 - 51% open Β· ⏱️ 06.04.2024): ``` - git clone https://github.com/Accenture/AmpliGraph + git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1K / month Β· ⏱️ 26.02.2024): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 3.8K / month Β· πŸ“¦ 7 Β· ⏱️ 06.04.2024): ``` - pip install ampligraph + pip install graphistry ```
ogb (πŸ₯ˆ29 Β· ⭐ 1.9K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT -- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 1.5K Β· πŸ“‹ 290 - 6% open Β· ⏱️ 01.02.2024): +- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 1.6K Β· πŸ“‹ 290 - 6% open Β· ⏱️ 01.02.2024): ``` git clone https://github.com/snap-stanford/ogb @@ -2909,12 +2909,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
Spektral (πŸ₯ˆ28 Β· ⭐ 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT -- [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 280 Β· πŸ“‹ 270 - 24% open Β· ⏱️ 21.01.2024): +- [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 290 Β· πŸ“‹ 270 - 24% open Β· ⏱️ 21.01.2024): ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 6.2K / month Β· πŸ“¦ 7 Β· ⏱️ 21.01.2024): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 6.8K / month Β· πŸ“¦ 7 Β· ⏱️ 21.01.2024): ``` pip install spektral ``` @@ -2926,61 +2926,61 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 4.6K / month Β· πŸ“¦ 6 Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 4.4K / month Β· πŸ“¦ 6 Β· ⏱️ 19.02.2024): ``` pip install pykeen ```
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pytorch_geometric_temporal (πŸ₯ˆ25 Β· ⭐ 2.5K Β· πŸ’€) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT +
Paddle Graph Learning (πŸ₯ˆ26 Β· ⭐ 1.6K Β· πŸ’€) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 -- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 340 Β· πŸ“‹ 180 - 15% open Β· ⏱️ 01.07.2023): +- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 310 Β· πŸ“¦ 54 Β· πŸ“‹ 240 - 36% open Β· ⏱️ 26.09.2023): ``` - git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal + git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.2K / month Β· πŸ“¦ 3 Β· ⏱️ 04.09.2022): +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): ``` - pip install torch-geometric-temporal + pip install pgl ```
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Paddle Graph Learning (πŸ₯ˆ25 Β· ⭐ 1.6K Β· πŸ’€) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 +
PyTorch-BigGraph (πŸ₯ˆ25 Β· ⭐ 3.3K) - Generate embeddings from large-scale graph-structured.. BSD-3 -- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 310 Β· πŸ“¦ 54 Β· πŸ“‹ 240 - 36% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 440 Β· πŸ“₯ 180 Β· πŸ“‹ 200 - 32% open Β· ⏱️ 03.03.2024): ``` - git clone https://github.com/PaddlePaddle/PGL + git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 640 / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 480K / month Β· πŸ“¦ 3 Β· ⏱️ 14.10.2019): ``` - pip install pgl + pip install torchbiggraph ```
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Node2Vec (πŸ₯ˆ25 Β· ⭐ 1.2K) - Implementation of the node2vec algorithm. MIT +
pytorch_geometric_temporal (πŸ₯ˆ25 Β· ⭐ 2.5K Β· πŸ’€) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 230 Β· πŸ“¦ 600 Β· πŸ“‹ 92 - 5% open Β· ⏱️ 11.04.2024): +- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 340 Β· πŸ“‹ 180 - 15% open Β· ⏱️ 01.07.2023): ``` - git clone https://github.com/eliorc/node2vec - ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 73K / month Β· πŸ“¦ 21 Β· ⏱️ 01.08.2022): - ``` - pip install node2vec + git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [Conda](https://anaconda.org/conda-forge/node2vec) (πŸ“₯ 28K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.2K / month Β· πŸ“¦ 3 Β· ⏱️ 04.09.2022): ``` - conda install -c conda-forge node2vec + pip install torch-geometric-temporal ```
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PyTorch-BigGraph (πŸ₯‰24 Β· ⭐ 3.3K) - Generate embeddings from large-scale graph-structured.. BSD-3 +
Node2Vec (πŸ₯‰24 Β· ⭐ 1.2K) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 440 Β· πŸ“₯ 180 Β· πŸ“‹ 200 - 32% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 230 Β· πŸ“¦ 600 Β· πŸ“‹ 92 - 5% open Β· ⏱️ 11.04.2024): ``` - git clone https://github.com/facebookresearch/PyTorch-BigGraph + git clone https://github.com/eliorc/node2vec + ``` +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 58K / month Β· πŸ“¦ 21 Β· ⏱️ 01.08.2022): ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 440K / month Β· πŸ“¦ 3 Β· ⏱️ 14.10.2019): + pip install node2vec + ``` +- [Conda](https://anaconda.org/conda-forge/node2vec) (πŸ“₯ 28K Β· ⏱️ 16.06.2023): ``` - pip install torchbiggraph + conda install -c conda-forge node2vec ```
torch-cluster (πŸ₯‰23 Β· ⭐ 760) - PyTorch Extension Library of Optimized Graph Cluster.. MIT @@ -2990,23 +2990,23 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 13K / month Β· πŸ“¦ 45 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 14K / month Β· πŸ“¦ 45 Β· ⏱️ 12.10.2023): ``` pip install torch-cluster ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 95K Β· ⏱️ 29.12.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 97K Β· ⏱️ 29.12.2023): ``` conda install -c conda-forge pytorch_cluster ```
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deepsnap (πŸ₯‰20 Β· ⭐ 520) - Python library assists deep learning on graphs. MIT +
deepsnap (πŸ₯‰20 Β· ⭐ 530) - Python library assists deep learning on graphs. MIT -- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 56 Β· πŸ“₯ 10 Β· πŸ“¦ 95 Β· πŸ“‹ 48 - 47% open Β· ⏱️ 11.11.2023): +- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 57 Β· πŸ“₯ 10 Β· πŸ“¦ 95 Β· πŸ“‹ 50 - 50% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/snap-stanford/deepsnap ``` -- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 400 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): +- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 360 / month Β· πŸ“¦ 2 Β· ⏱️ 05.09.2021): ``` pip install deepsnap ``` @@ -3018,7 +3018,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/gsi-upm/sematch ``` -- [PyPi](https://pypi.org/project/sematch) (πŸ“₯ 350 / month Β· πŸ“¦ 3 Β· ⏱️ 17.04.2017): +- [PyPi](https://pypi.org/project/sematch) (πŸ“₯ 420 / month Β· πŸ“¦ 3 Β· ⏱️ 17.04.2017): ``` pip install sematch ``` @@ -3030,7 +3030,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/vaticle/kglib ``` -- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 84 / month Β· ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 97 / month Β· ⏱️ 19.08.2020): ``` pip install grakn-kglib ``` @@ -3058,14 +3058,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/THUMNLab/AutoGL ``` -- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 2 / month Β· ⏱️ 23.12.2020): +- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 1 / month Β· ⏱️ 23.12.2020): ``` pip install auto-graph-learning ```
Show 17 hidden projects... -- igraph (πŸ₯‡34 Β· ⭐ 1.2K Β· πŸ“‰) - Python interface for igraph. ❗️GPL-2.0 +- igraph (πŸ₯‡33 Β· ⭐ 1.2K Β· πŸ“‰) - Python interface for igraph. ❗️GPL-2.0 - pygal (πŸ₯ˆ29 Β· ⭐ 2.6K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - StellarGraph (πŸ₯ˆ28 Β· ⭐ 2.9K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 - Karate Club (πŸ₯ˆ25 Β· ⭐ 2.1K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 @@ -3079,9 +3079,9 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas - GraphGym (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT - GraphEmbedding (πŸ₯‰17 Β· ⭐ 3.6K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT - Euler (πŸ₯‰15 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 -- ptgnn (πŸ₯‰15 Β· ⭐ 370 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT - GraphSAGE (πŸ₯‰14 Β· ⭐ 3.3K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT - GraphVite (πŸ₯‰14 Β· ⭐ 1.2K Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 +- ptgnn (πŸ₯‰14 Β· ⭐ 370 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT

@@ -3093,7 +3093,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
speechbrain (πŸ₯‡39 Β· ⭐ 7.9K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.1K - 11% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.1K - 11% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/speechbrain/speechbrain @@ -3105,12 +3105,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
espnet (πŸ₯‡37 Β· ⭐ 7.9K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.1K Β· πŸ“₯ 79 Β· πŸ“¦ 310 Β· πŸ“‹ 2.4K - 12% open Β· ⏱️ 09.04.2024): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.1K Β· πŸ“₯ 79 Β· πŸ“¦ 310 Β· πŸ“‹ 2.4K - 12% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 47K / month Β· πŸ“¦ 6 Β· ⏱️ 06.02.2024): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 53K / month Β· πŸ“¦ 6 Β· ⏱️ 06.02.2024): ``` pip install espnet ``` @@ -3133,12 +3133,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Coqui TTS (πŸ₯ˆ35 Β· ⭐ 29K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.3K Β· πŸ“₯ 2.1M Β· πŸ“¦ 1.1K Β· πŸ“‹ 1K - 6% open Β· ⏱️ 10.02.2024): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.4K Β· πŸ“₯ 2.1M Β· πŸ“¦ 1.1K Β· πŸ“‹ 1K - 7% open Β· ⏱️ 10.02.2024): ``` git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 110K / month Β· πŸ“¦ 26 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 120K / month Β· πŸ“¦ 30 Β· ⏱️ 12.12.2023): ``` pip install tts ``` @@ -3165,12 +3165,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
torchaudio (πŸ₯ˆ34 Β· ⭐ 2.4K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 620 Β· πŸ“‹ 940 - 23% open Β· ⏱️ 24.03.2024): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 630 Β· πŸ“‹ 940 - 23% open Β· ⏱️ 24.03.2024): ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 5.9M / month Β· πŸ“¦ 630 Β· ⏱️ 27.03.2024): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 6M / month Β· πŸ“¦ 660 Β· ⏱️ 24.04.2024): ``` pip install torchaudio ``` @@ -3182,14 +3182,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 3.1K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 3.6K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2022): ``` pip install magenta ```
spleeter (πŸ₯ˆ31 Β· ⭐ 25K Β· πŸ’€) - Deezer source separation library including pretrained models. MIT -- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.7K Β· πŸ“₯ 3.1M Β· πŸ“¦ 680 Β· πŸ“‹ 790 - 29% open Β· ⏱️ 13.07.2023): +- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.7K Β· πŸ“₯ 3.1M Β· πŸ“¦ 690 Β· πŸ“‹ 790 - 29% open Β· ⏱️ 13.07.2023): ``` git clone https://github.com/deezer/spleeter @@ -3205,24 +3205,24 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Porcupine (πŸ₯ˆ30 Β· ⭐ 3.4K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 470 Β· πŸ“¦ 28 Β· πŸ“‹ 530 - 1% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 470 Β· πŸ“¦ 28 Β· πŸ“‹ 540 - 1% open Β· ⏱️ 18.04.2024): ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 7.2K / month Β· πŸ“¦ 15 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 7.8K / month Β· πŸ“¦ 15 Β· ⏱️ 30.01.2024): ``` pip install pvporcupine ```
audiomentations (πŸ₯ˆ30 Β· ⭐ 1.7K) - A Python library for audio data augmentation. Inspired by.. MIT -- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 170 Β· πŸ“¦ 460 Β· πŸ“‹ 180 - 25% open Β· ⏱️ 15.03.2024): +- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 180 Β· πŸ“¦ 470 Β· πŸ“‹ 180 - 26% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 34K / month Β· πŸ“¦ 9 Β· ⏱️ 15.03.2024): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 30K / month Β· πŸ“¦ 9 Β· ⏱️ 15.03.2024): ``` pip install audiomentations ``` @@ -3250,19 +3250,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 12K / month Β· πŸ“¦ 20 Β· ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 10K / month Β· πŸ“¦ 20 Β· ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ```
Madmom (πŸ₯‰26 Β· ⭐ 1.2K Β· πŸ’€) - Python audio and music signal processing library. BSD-3 -- [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 200 Β· πŸ“¦ 410 Β· πŸ“‹ 280 - 23% open Β· ⏱️ 10.09.2023): +- [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 200 Β· πŸ“¦ 420 Β· πŸ“‹ 280 - 23% open Β· ⏱️ 10.09.2023): ``` git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2.1K / month Β· πŸ“¦ 33 Β· ⏱️ 14.11.2018): +- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2K / month Β· πŸ“¦ 33 Β· ⏱️ 14.11.2018): ``` pip install madmom ``` @@ -3274,7 +3274,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 24K / month Β· πŸ“¦ 120 Β· ⏱️ 26.10.2023): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 23K / month Β· πŸ“¦ 120 Β· ⏱️ 26.10.2023): ``` pip install tinytag ``` @@ -3286,7 +3286,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3297,12 +3297,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
python-soundfile (πŸ₯‰25 Β· ⭐ 660) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 -- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 97 Β· πŸ“₯ 18K Β· πŸ“‹ 240 - 43% open Β· ⏱️ 05.01.2024): +- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 98 Β· πŸ“₯ 18K Β· πŸ“‹ 240 - 43% open Β· ⏱️ 05.01.2024): ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 2.6M / month Β· πŸ“¦ 310 Β· ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 2.7M / month Β· πŸ“¦ 310 Β· ⏱️ 15.02.2023): ``` pip install soundfile ``` @@ -3318,7 +3318,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 12K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 11K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): ``` pip install nnAudio ``` @@ -3339,10 +3339,10 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as - aubio (πŸ₯‰27 Β· ⭐ 3.2K) - a library for audio and music analysis. ❗️GPL-3.0 - TTS (πŸ₯‰26 Β· ⭐ 8.8K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (πŸ₯‰24 Β· ⭐ 2.3K Β· πŸ’€) - This library provides common speech features for ASR.. MIT +- Dejavu (πŸ₯‰23 Β· ⭐ 6.3K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT - kapre (πŸ₯‰23 Β· ⭐ 910 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT -- Dejavu (πŸ₯‰22 Β· ⭐ 6.3K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT - Julius (πŸ₯‰21 Β· ⭐ 400 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT -- TimeSide (πŸ₯‰20 Β· ⭐ 370 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 +- TimeSide (πŸ₯‰20 Β· ⭐ 360 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 - Muda (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - A library for augmenting annotated audio data. ISC

@@ -3355,12 +3355,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡44 Β· ⭐ 12K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 7.5K Β· πŸ“‹ 3K - 9% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 7.5K Β· πŸ“‹ 3K - 9% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 3.2M / month Β· πŸ“¦ 61 Β· ⏱️ 15.04.2023): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 3.2M / month Β· πŸ“¦ 61 Β· ⏱️ 24.04.2024): ``` pip install pydeck ``` @@ -3368,30 +3368,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 420K / month Β· πŸ“¦ 500 Β· ⏱️ 18.04.2024): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 420K / month Β· πŸ“¦ 500 Β· ⏱️ 23.04.2024): ``` npm install deck.gl ```
folium (πŸ₯‡40 Β· ⭐ 6.7K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 36K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 37K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 1M / month Β· πŸ“¦ 860 Β· ⏱️ 29.02.2024): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 1.1M / month Β· πŸ“¦ 860 Β· ⏱️ 29.02.2024): ``` pip install folium ``` -- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 2.6M Β· ⏱️ 29.02.2024): +- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 2.7M Β· ⏱️ 29.02.2024): ``` conda install -c conda-forge folium ```
GeoPandas (πŸ₯‡40 Β· ⭐ 4.2K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 890 Β· πŸ“₯ 2.5K Β· πŸ“¦ 34K Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 890 Β· πŸ“₯ 2.5K Β· πŸ“¦ 34K Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/geopandas/geopandas @@ -3407,28 +3407,28 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Shapely (πŸ₯ˆ38 Β· ⭐ 3.7K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 550 Β· πŸ“₯ 3.2K Β· πŸ“¦ 66K Β· πŸ“‹ 1.2K - 22% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 550 Β· πŸ“₯ 3.3K Β· πŸ“¦ 67K Β· πŸ“‹ 1.2K - 22% open Β· ⏱️ 17.04.2024): ``` git clone https://github.com/shapely/shapely ``` -- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 22M / month Β· πŸ“¦ 1.5K Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 23M / month Β· πŸ“¦ 1.5K Β· ⏱️ 16.04.2024): ``` pip install shapely ``` -- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 9.1M Β· ⏱️ 17.04.2024): +- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 9.2M Β· ⏱️ 17.04.2024): ``` conda install -c conda-forge shapely ```
-
Rasterio (πŸ₯ˆ37 Β· ⭐ 2.1K Β· πŸ“ˆ) - Rasterio reads and writes geospatial raster datasets. BSD-3 +
Rasterio (πŸ₯ˆ37 Β· ⭐ 2.1K) - Rasterio reads and writes geospatial raster datasets. BSD-3 - [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 520 Β· πŸ“₯ 860 Β· πŸ“¦ 11K Β· πŸ“‹ 1.8K - 7% open Β· ⏱️ 18.04.2024): ``` git clone https://github.com/rasterio/rasterio ``` -- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2.7M / month Β· πŸ“¦ 1.1K Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2.8M / month Β· πŸ“¦ 1.1K Β· ⏱️ 16.04.2024): ``` pip install rasterio ``` @@ -3439,7 +3439,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Fiona (πŸ₯ˆ37 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 200 Β· πŸ“¦ 19K Β· πŸ“‹ 790 - 4% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 200 Β· πŸ“¦ 19K Β· πŸ“‹ 790 - 4% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/Toblerity/Fiona @@ -3455,7 +3455,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
geopy (πŸ₯ˆ35 Β· ⭐ 4.3K) - Geocoding library for Python. MIT -- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 660 Β· πŸ“₯ 33 Β· πŸ“‹ 280 - 11% open Β· ⏱️ 23.11.2023): +- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 660 Β· πŸ“₯ 38 Β· πŸ“‹ 280 - 11% open Β· ⏱️ 23.11.2023): ``` git clone https://github.com/geopy/geopy @@ -3469,30 +3469,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge geopy ```
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pyproj (πŸ₯ˆ35 Β· ⭐ 980) - Python interface to PROJ (cartographic projections and coordinate.. MIT +
pyproj (πŸ₯ˆ35 Β· ⭐ 990) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 210 Β· πŸ“¦ 29K Β· πŸ“‹ 600 - 5% open Β· ⏱️ 12.04.2024): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 210 Β· πŸ“¦ 29K Β· πŸ“‹ 600 - 5% open Β· ⏱️ 20.04.2024): ``` git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 8.8M / month Β· πŸ“¦ 2.1K Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 8.9M / month Β· πŸ“¦ 2.1K Β· ⏱️ 21.09.2023): ``` pip install pyproj ``` -- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 7.4M Β· ⏱️ 08.12.2023): +- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 7.5M Β· ⏱️ 08.12.2023): ``` conda install -c conda-forge pyproj ```
ArcGIS API (πŸ₯ˆ34 Β· ⭐ 1.8K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 1.1K Β· πŸ“₯ 11K Β· πŸ“¦ 740 Β· πŸ“‹ 700 - 10% open Β· ⏱️ 11.04.2024): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 1.1K Β· πŸ“₯ 11K Β· πŸ“¦ 750 Β· πŸ“‹ 710 - 10% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 120K / month Β· πŸ“¦ 33 Β· ⏱️ 28.02.2024): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 110K / month Β· πŸ“¦ 34 Β· ⏱️ 23.04.2024): ``` pip install arcgis ``` @@ -3501,22 +3501,22 @@ _Libraries to load, process, analyze, and write geographic data as well as libra docker pull esridocker/arcgis-api-python-notebook ```
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ipyleaflet (πŸ₯‰33 Β· ⭐ 1.4K) - A Jupyter - Leaflet.js bridge. MIT +
ipyleaflet (πŸ₯‰33 Β· ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 360 Β· πŸ“¦ 8.3K Β· πŸ“‹ 620 - 43% open Β· ⏱️ 12.04.2024): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 360 Β· πŸ“¦ 8.5K Β· πŸ“‹ 620 - 43% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 140K / month Β· πŸ“¦ 180 Β· ⏱️ 23.01.2024): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 140K / month Β· πŸ“¦ 180 Β· ⏱️ 23.04.2024): ``` pip install ipyleaflet ``` -- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 1.1M Β· ⏱️ 23.01.2024): +- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 1.1M Β· ⏱️ 24.04.2024): ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 8.5K / month Β· πŸ“¦ 6 Β· ⏱️ 23.01.2024): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 8.8K / month Β· πŸ“¦ 6 Β· ⏱️ 23.04.2024): ``` npm install jupyter-leaflet ``` @@ -3544,18 +3544,18 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 2.1M / month Β· πŸ“¦ 1.3K Β· ⏱️ 05.11.2023): +- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 2M / month Β· πŸ“¦ 1.3K Β· ⏱️ 05.11.2023): ``` pip install geojson ``` -- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 790K Β· ⏱️ 06.11.2023): +- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 800K Β· ⏱️ 06.11.2023): ``` conda install -c conda-forge geojson ```
GeoViews (πŸ₯‰29 Β· ⭐ 560) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 74 Β· πŸ“¦ 950 Β· πŸ“‹ 340 - 30% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 74 Β· πŸ“¦ 960 Β· πŸ“‹ 340 - 30% open Β· ⏱️ 05.04.2024): ``` git clone https://github.com/holoviz/geoviews @@ -3571,23 +3571,23 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
EarthPy (πŸ₯‰27 Β· ⭐ 480 Β· πŸ’€) - A package built to support working with spatial data using open.. BSD-3 -- [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 150 Β· πŸ“¦ 310 Β· πŸ“‹ 230 - 11% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 160 Β· πŸ“¦ 310 Β· πŸ“‹ 230 - 11% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 6.9K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 7.2K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): ``` pip install earthpy ``` -- [Conda](https://anaconda.org/conda-forge/earthpy) (πŸ“₯ 73K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/earthpy) (πŸ“₯ 75K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge earthpy ```
pymap3d (πŸ₯‰25 Β· ⭐ 370) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 -- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 85 Β· πŸ“¦ 380 Β· πŸ“‹ 55 - 12% open Β· ⏱️ 11.02.2024): +- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 85 Β· πŸ“¦ 390 Β· πŸ“‹ 55 - 12% open Β· ⏱️ 11.02.2024): ``` git clone https://github.com/geospace-code/pymap3d @@ -3603,13 +3603,13 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Show 7 hidden projects... -- Geocoder (πŸ₯‰32 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT +- Geocoder (πŸ₯‰33 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT - Satpy (πŸ₯‰32 Β· ⭐ 1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - Sentinelsat (πŸ₯‰26 Β· ⭐ 960) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - gmaps (πŸ₯‰24 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 - Mapbox GL (πŸ₯‰24 Β· ⭐ 650 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT - prettymaps (πŸ₯‰22 Β· ⭐ 11K Β· πŸ’€) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 -- geoplotlib (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT +- geoplotlib (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT

@@ -3621,12 +3621,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (πŸ₯‡40 Β· ⭐ 12K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 36K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 37K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 16.04.2024): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 1.7M / month Β· πŸ“¦ 360 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 1.6M / month Β· πŸ“¦ 360 Β· ⏱️ 16.04.2024): ``` pip install yfinance ``` @@ -3637,28 +3637,28 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
ta (πŸ₯‡31 Β· ⭐ 4K) - Technical Analysis Library using Pandas and Numpy. MIT -- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 820 Β· πŸ“¦ 3.2K Β· πŸ“‹ 230 - 54% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 820 Β· πŸ“¦ 3.3K Β· πŸ“‹ 230 - 54% open Β· ⏱️ 02.11.2023): ``` git clone https://github.com/bukosabino/ta ``` -- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 88K / month Β· πŸ“¦ 50 Β· ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 94K / month Β· πŸ“¦ 50 Β· ⏱️ 02.11.2023): ``` pip install ta ``` -- [Conda](https://anaconda.org/conda-forge/ta) (πŸ“₯ 24K Β· ⏱️ 02.11.2023): +- [Conda](https://anaconda.org/conda-forge/ta) (πŸ“₯ 25K Β· ⏱️ 02.11.2023): ``` conda install -c conda-forge ta ```
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Qlib (πŸ₯ˆ30 Β· ⭐ 14K Β· πŸ“ˆ) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT +
Qlib (πŸ₯ˆ30 Β· ⭐ 14K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT - [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.4K Β· πŸ“₯ 400 Β· πŸ“¦ 21 Β· πŸ“‹ 870 - 22% open Β· ⏱️ 13.04.2024): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 2.3K / month Β· πŸ“¦ 1 Β· ⏱️ 18.07.2023): ``` pip install pyqlib ``` @@ -3670,7 +3670,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 7.2K / month Β· πŸ“¦ 28 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 6.6K / month Β· πŸ“¦ 28 Β· ⏱️ 20.11.2023): ``` pip install bt ``` @@ -3681,7 +3681,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
ffn (πŸ₯ˆ29 Β· ⭐ 1.8K) - ffn - a financial function library for Python. MIT -- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 280 Β· πŸ“¦ 440 Β· πŸ“‹ 120 - 18% open Β· ⏱️ 18.03.2024): +- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 280 Β· πŸ“¦ 450 Β· πŸ“‹ 120 - 18% open Β· ⏱️ 18.03.2024): ``` git clone https://github.com/pmorissette/ffn @@ -3690,19 +3690,19 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` pip install ffn ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 7K Β· ⏱️ 31.12.2023): +- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 7.1K Β· ⏱️ 31.12.2023): ``` conda install -c conda-forge ffn ```
Alpha Vantage (πŸ₯ˆ28 Β· ⭐ 4.2K) - A python wrapper for Alpha Vantage API for financial data. MIT -- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 720 Β· πŸ“¦ 520 Β· πŸ“‹ 290 - 2% open Β· ⏱️ 19.03.2024): +- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 720 Β· πŸ“¦ 530 Β· πŸ“‹ 290 - 2% open Β· ⏱️ 19.03.2024): ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 33K / month Β· πŸ“¦ 32 Β· ⏱️ 21.12.2020): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 32K / month Β· πŸ“¦ 32 Β· ⏱️ 21.12.2020): ``` pip install alpha_vantage ``` @@ -3729,7 +3729,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
stockstats (πŸ₯‰25 Β· ⭐ 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 -- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 290 Β· πŸ“¦ 1K Β· πŸ“‹ 120 - 10% open Β· ⏱️ 05.01.2024): +- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 300 Β· πŸ“¦ 1K Β· πŸ“‹ 120 - 12% open Β· ⏱️ 05.01.2024): ``` git clone https://github.com/jealous/stockstats @@ -3746,19 +3746,19 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 180 / month Β· ⏱️ 01.01.2024): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 210 / month Β· ⏱️ 01.01.2024): ``` pip install finmarketpy ```
FinQuant (πŸ₯‰22 Β· ⭐ 1.3K Β· πŸ’€) - A program for financial portfolio management, analysis and.. MIT -- [GitHub](https://github.com/fmilthaler/FinQuant) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 170 Β· πŸ“¦ 92 Β· πŸ“‹ 48 - 33% open Β· ⏱️ 03.09.2023): +- [GitHub](https://github.com/fmilthaler/FinQuant) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 180 Β· πŸ“¦ 92 Β· πŸ“‹ 48 - 33% open Β· ⏱️ 03.09.2023): ``` git clone https://github.com/fmilthaler/FinQuant ``` -- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 590 / month Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 590 / month Β· πŸ“¦ 1 Β· ⏱️ 04.09.2023): ``` pip install FinQuant ``` @@ -3770,7 +3770,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 660 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 670 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): ``` pip install tf-quant-finance ``` @@ -3779,7 +3779,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te - zipline (πŸ₯‡33 Β· ⭐ 17K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - pyfolio (πŸ₯‡31 Β· ⭐ 5.4K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 -- arch (πŸ₯ˆ30 Β· ⭐ 1.2K) - ARCH models in Python. ❗Unlicensed +- arch (πŸ₯ˆ30 Β· ⭐ 1.3K) - ARCH models in Python. ❗Unlicensed - backtrader (πŸ₯ˆ29 Β· ⭐ 13K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - Alphalens (πŸ₯‰27 Β· ⭐ 3.1K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 - empyrical (πŸ₯‰27 Β· ⭐ 1.2K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 @@ -3802,7 +3802,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (πŸ₯‡39 Β· ⭐ 7.4K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.3K Β· πŸ“₯ 87 Β· πŸ“¦ 2.5K Β· πŸ“‹ 2.2K - 35% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.3K Β· πŸ“₯ 87 Β· πŸ“¦ 2.6K Β· πŸ“‹ 2.2K - 35% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/alan-turing-institute/sktime @@ -3811,7 +3811,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install sktime ``` -- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 940K Β· ⏱️ 28.03.2024): +- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 950K Β· ⏱️ 28.03.2024): ``` conda install -c conda-forge sktime-all-extras ``` @@ -3832,45 +3832,45 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge prophet ```
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Darts (πŸ₯‡33 Β· ⭐ 7.2K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 +
StatsForecast (πŸ₯‡34 Β· ⭐ 3.6K Β· πŸ“ˆ) - Lightning fast forecasting with statistical and.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 790 Β· πŸ“¦ 580 Β· πŸ“‹ 1.4K - 17% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 240 Β· πŸ“¦ 830 Β· πŸ“‹ 300 - 29% open Β· ⏱️ 24.04.2024): ``` - git clone https://github.com/unit8co/darts - ``` -- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 23K / month Β· πŸ“¦ 5 Β· ⏱️ 17.04.2024): - ``` - pip install u8darts + git clone https://github.com/Nixtla/statsforecast ``` -- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 41K Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 540K / month Β· πŸ“¦ 30 Β· ⏱️ 08.04.2024): ``` - conda install -c conda-forge u8darts-all + pip install statsforecast ``` -- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 540 Β· ⏱️ 17.04.2024): +- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 64K Β· ⏱️ 08.04.2024): ``` - docker pull unit8/darts + conda install -c conda-forge statsforecast ```
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StatsForecast (πŸ₯‡33 Β· ⭐ 3.5K) - Lightning fast forecasting with statistical and econometric.. Apache-2 +
Darts (πŸ₯ˆ33 Β· ⭐ 7.3K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 240 Β· πŸ“¦ 820 Β· πŸ“‹ 300 - 29% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 790 Β· πŸ“¦ 590 Β· πŸ“‹ 1.4K - 17% open Β· ⏱️ 18.04.2024): ``` - git clone https://github.com/Nixtla/statsforecast + git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 520K / month Β· πŸ“¦ 30 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 24K / month Β· πŸ“¦ 5 Β· ⏱️ 17.04.2024): ``` - pip install statsforecast + pip install u8darts ``` -- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 63K Β· ⏱️ 08.04.2024): +- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 41K Β· ⏱️ 18.04.2024): ``` - conda install -c conda-forge statsforecast + conda install -c conda-forge u8darts-all + ``` +- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 550 Β· ⏱️ 17.04.2024): + ``` + docker pull unit8/darts ```
NeuralProphet (πŸ₯ˆ32 Β· ⭐ 3.6K) - NeuralProphet: A simple forecasting package. MIT -- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 450 Β· πŸ“¦ 420 Β· πŸ“‹ 520 - 7% open Β· ⏱️ 15.03.2024): +- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 460 Β· πŸ“¦ 420 Β· πŸ“‹ 520 - 8% open Β· ⏱️ 15.03.2024): ``` git clone https://github.com/ourownstory/neural_prophet @@ -3887,7 +3887,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 240K / month Β· πŸ“¦ 79 Β· ⏱️ 28.01.2024): +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 240K / month Β· πŸ“¦ 80 Β· ⏱️ 28.01.2024): ``` pip install tsfresh ``` @@ -3898,7 +3898,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
STUMPY (πŸ₯ˆ31 Β· ⭐ 3K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 280 Β· πŸ“¦ 710 Β· πŸ“‹ 470 - 10% open Β· ⏱️ 01.04.2024): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 280 Β· πŸ“¦ 720 Β· πŸ“‹ 470 - 10% open Β· ⏱️ 01.04.2024): ``` git clone https://github.com/TDAmeritrade/stumpy @@ -3919,7 +3919,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 360K / month Β· πŸ“¦ 49 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 350K / month Β· πŸ“¦ 49 Β· ⏱️ 12.12.2023): ``` pip install tslearn ``` @@ -3930,7 +3930,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralForecast (πŸ₯ˆ31 Β· ⭐ 2.4K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 280 Β· πŸ“¦ 120 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 280 Β· πŸ“¦ 130 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 17.04.2024): ``` git clone https://github.com/Nixtla/neuralforecast @@ -3946,7 +3946,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pmdarima (πŸ₯ˆ31 Β· ⭐ 1.5K) - A statistical library designed to fill the void in Pythons time series.. MIT -- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 7.8K Β· πŸ“‹ 320 - 16% open Β· ⏱️ 23.02.2024): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 7.9K Β· πŸ“‹ 320 - 16% open Β· ⏱️ 23.02.2024): ``` git clone https://github.com/alkaline-ml/pmdarima @@ -3955,23 +3955,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install pmdarima ``` -- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 1M Β· ⏱️ 27.10.2023): +- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 1.1M Β· ⏱️ 19.04.2024): ``` conda install -c conda-forge pmdarima ```
GluonTS (πŸ₯ˆ30 Β· ⭐ 4.3K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 760 Β· πŸ“‹ 940 - 32% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 760 Β· πŸ“‹ 940 - 32% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 280K / month Β· πŸ“¦ 16 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 290K / month Β· πŸ“¦ 16 Β· ⏱️ 02.02.2024): ``` pip install gluonts ``` -- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 750 Β· ⏱️ 22.12.2023): +- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 760 Β· ⏱️ 22.12.2023): ``` conda install -c anaconda gluonts ``` @@ -3983,7 +3983,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 55K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 52K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): ``` pip install pytorch-forecasting ``` @@ -3999,11 +3999,11 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 19K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 21K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): ``` pip install orbit-ml ``` -- [Conda](https://anaconda.org/conda-forge/orbit-ml) (πŸ“₯ 5.8K Β· ⏱️ 01.04.2024): +- [Conda](https://anaconda.org/conda-forge/orbit-ml) (πŸ“₯ 6.1K Β· ⏱️ 01.04.2024): ``` conda install -c conda-forge orbit-ml ``` @@ -4024,19 +4024,19 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pyts ```
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skforecast (πŸ₯‰24 Β· ⭐ 880) - Time series forecasting with scikit-learn models. BSD-3 +
skforecast (πŸ₯‰24 Β· ⭐ 890) - Time series forecasting with scikit-learn models. BSD-3 - [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 100 Β· πŸ“¦ 250 Β· πŸ“‹ 130 - 27% open Β· ⏱️ 14.02.2024): ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 47K / month Β· πŸ“¦ 8 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 48K / month Β· πŸ“¦ 8 Β· ⏱️ 16.11.2023): ``` pip install skforecast ```
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TSFEL (πŸ₯‰24 Β· ⭐ 850) - An intuitive library to extract features from time series. BSD-3 +
TSFEL (πŸ₯‰24 Β· ⭐ 860) - An intuitive library to extract features from time series. BSD-3 - [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 130 Β· πŸ“¦ 120 Β· πŸ“‹ 68 - 4% open Β· ⏱️ 27.03.2024): @@ -4055,7 +4055,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 9.9K / month Β· ⏱️ 12.01.2024): +- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 10K / month Β· ⏱️ 12.01.2024): ``` pip install greykite ``` @@ -4067,19 +4067,19 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/linkedin/luminol ``` -- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 9.5K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): +- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 9.2K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): ``` pip install luminol ```
tsflex (πŸ₯‰21 Β· ⭐ 360) - Flexible time series feature extraction & processing. MIT -- [GitHub](https://github.com/predict-idlab/tsflex) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 25 Β· πŸ“¦ 12 Β· πŸ“‹ 51 - 58% open Β· ⏱️ 04.04.2024): +- [GitHub](https://github.com/predict-idlab/tsflex) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 25 Β· πŸ“¦ 12 Β· πŸ“‹ 52 - 57% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 710 / month Β· πŸ“¦ 1 Β· ⏱️ 04.04.2024): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 04.04.2024): ``` pip install tsflex ``` @@ -4088,28 +4088,28 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tsflex ```
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Auto TS (πŸ₯‰19 Β· ⭐ 670) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 +
pydlm (πŸ₯‰19 Β· ⭐ 470 Β· πŸ’€) - A python library for Bayesian time series modeling. BSD-3 -- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“‹ 86 - 1% open Β· ⏱️ 28.01.2024): +- [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 97 Β· πŸ“¦ 33 Β· πŸ“‹ 49 - 75% open Β· ⏱️ 04.09.2023): ``` - git clone https://github.com/AutoViML/Auto_TS + git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 5.4K / month Β· ⏱️ 28.01.2024): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 23K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): ``` - pip install auto-ts + pip install pydlm ```
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pydlm (πŸ₯‰19 Β· ⭐ 470 Β· πŸ’€) - A python library for Bayesian time series modeling. BSD-3 +
Auto TS (πŸ₯‰18 Β· ⭐ 670) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 -- [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 97 Β· πŸ“¦ 33 Β· πŸ“‹ 49 - 75% open Β· ⏱️ 04.09.2023): +- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“‹ 86 - 1% open Β· ⏱️ 28.01.2024): ``` - git clone https://github.com/wwrechard/pydlm + git clone https://github.com/AutoViML/Auto_TS ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 22K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 5.8K / month Β· ⏱️ 28.01.2024): ``` - pip install pydlm + pip install auto-ts ```
Show 9 hidden projects... @@ -4134,32 +4134,32 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡39 Β· ⭐ 2.5K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.7K Β· πŸ“‹ 4.8K - 10% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.8K Β· πŸ“‹ 4.8K - 10% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 110K / month Β· πŸ“¦ 310 Β· ⏱️ 16.01.2024): +- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 110K / month Β· πŸ“¦ 310 Β· ⏱️ 19.04.2024): ``` pip install mne ``` -- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 350K Β· ⏱️ 16.01.2024): +- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 360K Β· ⏱️ 19.04.2024): ``` conda install -c conda-forge mne ```
Nilearn (πŸ₯‡37 Β· ⭐ 1.1K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 540 Β· πŸ“₯ 160 Β· πŸ“¦ 3.1K Β· πŸ“‹ 2K - 14% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 550 Β· πŸ“₯ 160 Β· πŸ“¦ 3.1K Β· πŸ“‹ 2.1K - 14% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 65K / month Β· πŸ“¦ 300 Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 65K / month Β· πŸ“¦ 310 Β· ⏱️ 09.04.2024): ``` pip install nilearn ``` -- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 260K Β· ⏱️ 09.04.2024): +- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 270K Β· ⏱️ 09.04.2024): ``` conda install -c conda-forge nilearn ``` @@ -4171,34 +4171,34 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 490K / month Β· πŸ“¦ 1.2K Β· ⏱️ 27.02.2024): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 480K / month Β· πŸ“¦ 1.2K Β· ⏱️ 27.02.2024): ``` pip install nibabel ``` -- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 690K Β· ⏱️ 27.02.2024): +- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 700K Β· ⏱️ 27.02.2024): ``` conda install -c conda-forge nibabel ```
MONAI (πŸ₯ˆ35 Β· ⭐ 5.3K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 960 Β· πŸ“¦ 2.1K Β· πŸ“‹ 2.9K - 10% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 970 Β· πŸ“¦ 2.1K Β· πŸ“‹ 3K - 10% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 230K / month Β· πŸ“¦ 56 Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 160K / month Β· πŸ“¦ 56 Β· ⏱️ 19.04.2024): ``` pip install monai ``` -- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 22K Β· ⏱️ 12.10.2023): +- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 23K Β· ⏱️ 12.10.2023): ``` conda install -c conda-forge monai ```
NIPYPE (πŸ₯ˆ35 Β· ⭐ 730) - Workflows and interfaces for neuroimaging packages. Apache-2 -- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 510 Β· πŸ“¦ 4.2K Β· πŸ“‹ 1.4K - 29% open Β· ⏱️ 22.03.2024): +- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 510 Β· πŸ“¦ 4.3K Β· πŸ“‹ 1.4K - 29% open Β· ⏱️ 22.03.2024): ``` git clone https://github.com/nipy/nipype @@ -4214,12 +4214,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Lifelines (πŸ₯ˆ32 Β· ⭐ 2.3K) - Survival analysis in Python. MIT -- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 580 Β· πŸ“¦ 2.4K Β· πŸ“‹ 950 - 25% open Β· ⏱️ 07.03.2024): +- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 580 Β· πŸ“¦ 2.4K Β· πŸ“‹ 950 - 26% open Β· ⏱️ 07.03.2024): ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 480K / month Β· πŸ“¦ 140 Β· ⏱️ 03.01.2024): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 500K / month Β· πŸ“¦ 140 Β· ⏱️ 03.01.2024): ``` pip install lifelines ``` @@ -4230,12 +4230,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (πŸ₯ˆ32 Β· ⭐ 930) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 240 Β· πŸ“¦ 130 Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 12.04.2024): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 240 Β· πŸ“¦ 130 Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 38K / month Β· πŸ“¦ 20 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 33K / month Β· πŸ“¦ 20 Β· ⏱️ 10.04.2024): ``` pip install hail ``` @@ -4259,7 +4259,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 97 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 120 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): ``` pip install brainiak ``` @@ -4291,7 +4291,7 @@ _Libraries for processing tabular and structured data._
pytorch_tabular (πŸ₯‡23 Β· ⭐ 1.2K) - A standard framework for modelling Deep Learning Models.. MIT -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 130 Β· πŸ“₯ 25 Β· πŸ“‹ 140 - 9% open Β· ⏱️ 10.04.2024): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 130 Β· πŸ“₯ 27 Β· πŸ“‹ 140 - 9% open Β· ⏱️ 10.04.2024): ``` git clone https://github.com/manujosephv/pytorch_tabular @@ -4301,21 +4301,36 @@ _Libraries for processing tabular and structured data._ pip install pytorch_tabular ```
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carefree-learn (πŸ₯‰18 Β· ⭐ 400 Β· πŸ“‰) - Deep Learning PyTorch. MIT +
miceforest (πŸ₯‡23 Β· ⭐ 310) - Multiple Imputation with LightGBM in Python. MIT + +- [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 27 Β· πŸ“¦ 130 Β· πŸ“‹ 81 - 25% open Β· ⏱️ 16.11.2023): + + ``` + git clone https://github.com/AnotherSamWilson/miceforest + ``` +- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 20K / month Β· πŸ“¦ 5 Β· ⏱️ 16.11.2023): + ``` + pip install miceforest + ``` +- [Conda](https://anaconda.org/conda-forge/miceforest) (πŸ“₯ 12K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge miceforest + ``` +
+
carefree-learn (πŸ₯‰18 Β· ⭐ 400) - Deep Learning PyTorch. MIT - [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 38 Β· πŸ“¦ 5 Β· πŸ“‹ 82 - 2% open Β· ⏱️ 18.03.2024): ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 340 / month Β· ⏱️ 09.01.2024): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 430 / month Β· ⏱️ 09.01.2024): ``` pip install carefree-learn ```
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Show 3 hidden projects... +
Show 2 hidden projects... -- miceforest (πŸ₯ˆ22 Β· ⭐ 290) - Multiple Imputation with LightGBM in Python. MIT - upgini (πŸ₯‰20 Β· ⭐ 290) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 - deltapy (πŸ₯‰12 Β· ⭐ 530 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT
@@ -4329,36 +4344,36 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (πŸ₯‡38 Β· ⭐ 38K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 7.2K Β· πŸ“¦ 2.5K Β· πŸ“‹ 8.8K - 13% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 7.2K Β· πŸ“¦ 2.5K Β· πŸ“‹ 8.9K - 13% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 180K / month Β· πŸ“¦ 46 Β· ⏱️ 29.03.2024): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 160K / month Β· πŸ“¦ 46 Β· ⏱️ 29.03.2024): ``` pip install paddleocr ```
EasyOCR (πŸ₯‡35 Β· ⭐ 22K Β· πŸ’€) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.9K Β· πŸ“₯ 10M Β· πŸ“¦ 5.9K Β· πŸ“‹ 960 - 39% open Β· ⏱️ 04.09.2023): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.9K Β· πŸ“₯ 10M Β· πŸ“¦ 6K Β· πŸ“‹ 960 - 39% open Β· ⏱️ 04.09.2023): ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 240K / month Β· πŸ“¦ 120 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 230K / month Β· πŸ“¦ 120 Β· ⏱️ 04.09.2023): ``` pip install easyocr ```
OCRmyPDF (πŸ₯ˆ33 Β· ⭐ 12K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 890 Β· πŸ“₯ 3K Β· πŸ“¦ 790 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 890 Β· πŸ“₯ 3.1K Β· πŸ“¦ 790 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 89K / month Β· πŸ“¦ 21 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 93K / month Β· πŸ“¦ 21 Β· ⏱️ 16.04.2024): ``` pip install ocrmypdf ``` @@ -4374,7 +4389,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 2.3M / month Β· πŸ“¦ 1.3K Β· ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 2.1M / month Β· πŸ“¦ 1.3K Β· ⏱️ 16.08.2022): ``` pip install pytesseract ``` @@ -4385,12 +4400,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
tesserocr (πŸ₯ˆ32 Β· ⭐ 1.9K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 260 Β· πŸ“₯ 160 Β· πŸ“¦ 970 Β· πŸ“‹ 270 - 17% open Β· ⏱️ 28.03.2024): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 260 Β· πŸ“₯ 230 Β· πŸ“¦ 970 Β· πŸ“‹ 270 - 17% open Β· ⏱️ 21.04.2024): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 60K / month Β· πŸ“¦ 72 Β· ⏱️ 28.03.2024): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 62K / month Β· πŸ“¦ 72 Β· ⏱️ 28.03.2024): ``` pip install tesserocr ``` @@ -4399,14 +4414,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge tesserocr ```
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MMOCR (πŸ₯‰27 Β· ⭐ 4.1K Β· πŸ’€) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 +
MMOCR (πŸ₯‰27 Β· ⭐ 4.1K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 720 Β· πŸ“¦ 120 Β· πŸ“‹ 910 - 18% open Β· ⏱️ 01.09.2023): +- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 720 Β· πŸ“¦ 120 Β· πŸ“‹ 910 - 18% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 5.6K / month Β· πŸ“¦ 3 Β· ⏱️ 05.05.2022): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 9.3K / month Β· πŸ“¦ 3 Β· ⏱️ 05.05.2022): ``` pip install mmocr ``` @@ -4427,35 +4442,35 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c anaconda keras-ocr ```
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calamari (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - Line based ATR Engine based on OCRopy. Apache-2 +
attention-ocr (πŸ₯‰21 Β· ⭐ 1.1K) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT -- [GitHub](https://github.com/Calamari-OCR/calamari) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 210 Β· πŸ“‹ 270 - 23% open Β· ⏱️ 18.08.2023): +- [GitHub](https://github.com/emedvedev/attention-ocr) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 250 Β· πŸ“¦ 28 Β· πŸ“‹ 150 - 16% open Β· ⏱️ 20.10.2023): ``` - git clone https://github.com/Calamari-OCR/calamari + git clone https://github.com/emedvedev/attention-ocr ``` -- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 2.1K / month Β· πŸ“¦ 5 Β· ⏱️ 18.08.2023): +- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 270 / month Β· ⏱️ 19.04.2019): ``` - pip install calamari_ocr + pip install aocr ```
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attention-ocr (πŸ₯‰20 Β· ⭐ 1.1K) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT +
calamari (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - Line based ATR Engine based on OCRopy. Apache-2 -- [GitHub](https://github.com/emedvedev/attention-ocr) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 250 Β· πŸ“¦ 28 Β· πŸ“‹ 150 - 16% open Β· ⏱️ 20.10.2023): +- [GitHub](https://github.com/Calamari-OCR/calamari) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 210 Β· πŸ“‹ 270 - 23% open Β· ⏱️ 18.08.2023): ``` - git clone https://github.com/emedvedev/attention-ocr + git clone https://github.com/Calamari-OCR/calamari ``` -- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 150 / month Β· ⏱️ 19.04.2019): +- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 1.9K / month Β· πŸ“¦ 5 Β· ⏱️ 18.08.2023): ``` - pip install aocr + pip install calamari_ocr ```
Show 3 hidden projects... - pdftabextract (πŸ₯‰21 Β· ⭐ 2.2K Β· πŸ’€) - A set of tools for extracting tables from PDF files.. Apache-2 - doc2text (πŸ₯‰20 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT -- Mozart (πŸ₯‰10 Β· ⭐ 560 Β· πŸ’€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 +- Mozart (πŸ₯‰10 Β· ⭐ 570 Β· πŸ’€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2

@@ -4507,44 +4522,44 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡45 Β· ⭐ 31K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 5.2K Β· πŸ“₯ 210 Β· πŸ“¦ 15K Β· πŸ“‹ 18K - 20% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 5.2K Β· πŸ“₯ 210 Β· πŸ“¦ 15K Β· πŸ“‹ 18K - 20% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 3.9M / month Β· πŸ“¦ 500 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 4.1M / month Β· πŸ“¦ 500 Β· ⏱️ 17.04.2024): ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 200K Β· ⏱️ 24.03.2024): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 200K Β· ⏱️ 19.04.2024): ``` conda install -c conda-forge ray-tune ```
dask (πŸ₯‡44 Β· ⭐ 12K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 1.7K Β· πŸ“¦ 59K Β· πŸ“‹ 5.2K - 20% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 1.7K Β· πŸ“¦ 59K Β· πŸ“‹ 5.2K - 20% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 7.4M / month Β· πŸ“¦ 3.2K Β· ⏱️ 04.04.2024): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 7.5M / month Β· πŸ“¦ 3.2K Β· ⏱️ 19.04.2024): ``` pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 11M Β· ⏱️ 05.04.2024): +- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 11M Β· ⏱️ 20.04.2024): ``` conda install -c conda-forge dask ```
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DeepSpeed (πŸ₯‡42 Β· ⭐ 33K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 +
DeepSpeed (πŸ₯‡41 Β· ⭐ 33K Β· πŸ“‰) - DeepSpeed is a deep learning optimization library that.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.8K Β· πŸ“¦ 6.6K Β· πŸ“‹ 2.6K - 39% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.8K Β· πŸ“¦ 6.7K Β· πŸ“‹ 2.6K - 39% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 470K / month Β· πŸ“¦ 110 Β· ⏱️ 15.04.2024): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 490K / month Β· πŸ“¦ 110 Β· ⏱️ 23.04.2024): ``` pip install deepspeed ``` @@ -4555,28 +4570,28 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (πŸ₯‡40 Β· ⭐ 1.5K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 700 Β· πŸ“¦ 34K Β· πŸ“‹ 3.8K - 39% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 700 Β· πŸ“¦ 34K Β· πŸ“‹ 3.8K - 39% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 3.6M / month Β· πŸ“¦ 1.4K Β· ⏱️ 04.04.2024): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 3.7M / month Β· πŸ“¦ 1.4K Β· ⏱️ 19.04.2024): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 13M Β· ⏱️ 05.04.2024): +- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 13M Β· ⏱️ 19.04.2024): ``` conda install -c conda-forge distributed ```
metrics (πŸ₯ˆ36 Β· ⭐ 1.9K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 370 Β· πŸ“₯ 5K Β· πŸ“¦ 23K Β· πŸ“‹ 810 - 8% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 370 Β· πŸ“₯ 5.1K Β· πŸ“¦ 24K Β· πŸ“‹ 810 - 8% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4.1K / month Β· πŸ“¦ 13 Β· ⏱️ 28.04.2018): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 3.6K / month Β· πŸ“¦ 13 Β· ⏱️ 28.04.2018): ``` pip install metrics ``` @@ -4587,12 +4602,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.7K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 -- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.3K - 29% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.3K - 29% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/h2oai/h2o-3 ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 360K / month Β· πŸ“¦ 85 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 350K / month Β· πŸ“¦ 85 Β· ⏱️ 14.03.2024): ``` pip install h2o ``` @@ -4604,19 +4619,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 56K / month Β· πŸ“¦ 37 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 58K / month Β· πŸ“¦ 37 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
BigDL (πŸ₯ˆ34 Β· ⭐ 5.9K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2 -- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.2K Β· πŸ“₯ 420 Β· πŸ“¦ 49 Β· πŸ“‹ 2.2K - 35% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.2K Β· πŸ“₯ 440 Β· πŸ“¦ 51 Β· πŸ“‹ 2.2K - 35% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 5.1K / month Β· πŸ“¦ 1 Β· ⏱️ 24.03.2024): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 6.2K / month Β· πŸ“¦ 1 Β· ⏱️ 24.03.2024): ``` pip install bigdl ``` @@ -4631,7 +4646,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
ColossalAI (πŸ₯ˆ33 Β· ⭐ 38K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.2K Β· πŸ“¦ 360 Β· πŸ“‹ 1.6K - 24% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 4.2K Β· πŸ“¦ 360 Β· πŸ“‹ 1.6K - 25% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/hpcaitech/colossalai @@ -4639,12 +4654,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
FairScale (πŸ₯ˆ32 Β· ⭐ 2.9K) - PyTorch extensions for high performance and large scale training. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 250 Β· πŸ“¦ 4.8K Β· πŸ“‹ 360 - 20% open Β· ⏱️ 12.04.2024): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 250 Β· πŸ“¦ 4.9K Β· πŸ“‹ 360 - 20% open Β· ⏱️ 12.04.2024): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 470K / month Β· πŸ“¦ 66 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 480K / month Β· πŸ“¦ 66 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` @@ -4660,7 +4675,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 270K / month Β· πŸ“¦ 75 Β· ⏱️ 02.04.2024): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 310K / month Β· πŸ“¦ 75 Β· ⏱️ 02.04.2024): ``` pip install dask-ml ``` @@ -4676,19 +4691,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 190K / month Β· πŸ“¦ 3 Β· ⏱️ 11.04.2024): +- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 180K / month Β· πŸ“¦ 3 Β· ⏱️ 11.04.2024): ``` pip install synapseml ```
mpi4py (πŸ₯ˆ29 Β· ⭐ 750) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 110 Β· πŸ“₯ 22K Β· πŸ“‹ 160 - 8% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 110 Β· πŸ“₯ 23K Β· πŸ“‹ 160 - 8% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 230K / month Β· πŸ“¦ 780 Β· ⏱️ 14.04.2024): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 220K / month Β· πŸ“¦ 780 Β· ⏱️ 14.04.2024): ``` pip install mpi4py ``` @@ -4699,12 +4714,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
TensorFlowOnSpark (πŸ₯‰27 Β· ⭐ 3.9K Β· πŸ’€) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 -- [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 960 Β· πŸ“‹ 370 - 2% open Β· ⏱️ 27.04.2023): +- [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 960 Β· πŸ“‹ 370 - 3% open Β· ⏱️ 27.04.2023): ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 980K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): +- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 940K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): ``` pip install tensorflowonspark ``` @@ -4720,7 +4735,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 340K / month Β· πŸ“¦ 20 Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 350K / month Β· πŸ“¦ 20 Β· ⏱️ 09.11.2023): ``` pip install submitit ``` @@ -4729,7 +4744,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge submitit ```
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petastorm (πŸ₯‰26 Β· ⭐ 1.7K) - Petastorm library enables single machine or distributed training.. Apache-2 +
petastorm (πŸ₯‰26 Β· ⭐ 1.8K) - Petastorm library enables single machine or distributed training.. Apache-2 - [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 280 Β· πŸ“₯ 460 Β· πŸ“¦ 160 Β· πŸ“‹ 320 - 53% open Β· ⏱️ 02.12.2023): @@ -4764,33 +4779,33 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 5.6K / month Β· πŸ“¦ 7 Β· ⏱️ 31.08.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 5.4K / month Β· πŸ“¦ 7 Β· ⏱️ 31.08.2023): ``` pip install hivemind ```
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MMLSpark (πŸ₯‰23 Β· ⭐ 5K) - Simple and Distributed Machine Learning. MIT +
Mesh (πŸ₯‰23 Β· ⭐ 1.6K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 810 Β· πŸ“‹ 740 - 46% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 260 Β· πŸ“‹ 120 - 85% open Β· ⏱️ 17.11.2023): ``` - git clone https://github.com/microsoft/SynapseML + git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/mmlspark) (⏱️ 18.03.2020): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 47K / month Β· πŸ“¦ 30 Β· ⏱️ 15.05.2022): ``` - pip install mmlspark + pip install mesh-tensorflow ```
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Mesh (πŸ₯‰23 Β· ⭐ 1.6K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 +
MMLSpark (πŸ₯‰22 Β· ⭐ 5K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 260 Β· πŸ“‹ 120 - 85% open Β· ⏱️ 17.11.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 810 Β· πŸ“‹ 740 - 46% open Β· ⏱️ 18.04.2024): ``` - git clone https://github.com/tensorflow/mesh + git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 45K / month Β· πŸ“¦ 30 Β· ⏱️ 15.05.2022): +- [PyPi](https://pypi.org/project/mmlspark) (πŸ“₯ 1 / month Β· ⏱️ 18.03.2020): ``` - pip install mesh-tensorflow + pip install mmlspark ```
analytics-zoo (πŸ₯‰22 Β· ⭐ 2.6K Β· 🐣) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 @@ -4800,12 +4815,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 850 / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 900 / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): ``` pip install analytics-zoo ```
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launchpad (πŸ₯‰21 Β· ⭐ 310 Β· πŸ’€) - Launchpad is a library that simplifies writing.. Apache-2 +
launchpad (πŸ₯‰21 Β· ⭐ 300 Β· πŸ’€) - Launchpad is a library that simplifies writing.. Apache-2 - [GitHub](https://github.com/google-deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 94 Β· πŸ“‹ 39 - 46% open Β· ⏱️ 22.08.2023): @@ -4819,8 +4834,8 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Show 14 hidden projects... -- DEAP (πŸ₯ˆ33 Β· ⭐ 5.5K Β· πŸ’€) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 -- ipyparallel (πŸ₯ˆ30 Β· ⭐ 2.5K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed +- DEAP (πŸ₯ˆ33 Β· ⭐ 5.6K Β· πŸ’€) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 +- ipyparallel (πŸ₯ˆ30 Β· ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed - Elephas (πŸ₯‰28 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras - sk-dist (πŸ₯‰21 Β· ⭐ 290 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - BytePS (πŸ₯‰20 Β· ⭐ 3.6K Β· πŸ’€) - A high performance and generic framework for distributed DNN.. Apache-2 @@ -4830,9 +4845,9 @@ _Libraries that provide capabilities to distribute and parallelize machine learn - parallelformers (πŸ₯‰17 Β· ⭐ 750 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - bluefog (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 - Fiber (πŸ₯‰16 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 -- LazyCluster (πŸ₯‰12 Β· ⭐ 50 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 -- moolib (πŸ₯‰11 Β· ⭐ 370 Β· πŸ’€) - A library for distributed ML training with PyTorch. MIT -- autodist (πŸ₯‰10 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2 +- LazyCluster (πŸ₯‰13 Β· ⭐ 50 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 +- moolib (πŸ₯‰11 Β· ⭐ 360 Β· πŸ’€) - A library for distributed ML training with PyTorch. MIT +- autodist (πŸ₯‰11 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2

@@ -4842,9 +4857,9 @@ _Libraries that provide capabilities to distribute and parallelize machine learn _Libraries for hyperparameter optimization, automl and neural architecture search._ -
BoTorch (πŸ₯‡34 Β· ⭐ 2.9K) - Bayesian optimization in PyTorch. MIT +
BoTorch (πŸ₯‡34 Β· ⭐ 3K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 360 Β· πŸ“¦ 950 Β· πŸ“‹ 480 - 13% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 360 Β· πŸ“¦ 960 Β· πŸ“‹ 480 - 13% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/pytorch/botorch @@ -4860,12 +4875,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (πŸ₯‡34 Β· ⭐ 2.3K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 290 Β· πŸ“¦ 700 Β· πŸ“‹ 690 - 12% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 290 Β· πŸ“¦ 700 Β· πŸ“‹ 690 - 12% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 93K / month Β· πŸ“¦ 29 Β· ⏱️ 01.03.2024): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 92K / month Β· πŸ“¦ 29 Β· ⏱️ 01.03.2024): ``` pip install ax-platform ``` @@ -4881,14 +4896,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 16K / month Β· πŸ“¦ 38 Β· ⏱️ 14.09.2023): +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 17K / month Β· πŸ“¦ 38 Β· ⏱️ 14.09.2023): ``` pip install nni ```
AutoKeras (πŸ₯‡33 Β· ⭐ 9.1K) - AutoML library for deep learning. Apache-2 -- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 18K Β· πŸ“¦ 660 Β· πŸ“‹ 890 - 14% open Β· ⏱️ 20.03.2024): +- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 18K Β· πŸ“¦ 670 Β· πŸ“‹ 890 - 15% open Β· ⏱️ 20.03.2024): ``` git clone https://github.com/keras-team/autokeras @@ -4898,14 +4913,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc pip install autokeras ```
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AutoGluon (πŸ₯‡33 Β· ⭐ 7.1K) - AutoGluon: Fast and Accurate ML in 3 Lines of Code. Apache-2 +
AutoGluon (πŸ₯‡33 Β· ⭐ 7.1K) - Fast and Accurate ML in 3 Lines of Code. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 840 Β· πŸ“¦ 660 Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 840 Β· πŸ“¦ 670 Β· πŸ“‹ 1.3K - 25% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 81K / month Β· πŸ“¦ 9 Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 85K / month Β· πŸ“¦ 9 Β· ⏱️ 25.04.2024): ``` pip install autogluon ``` @@ -4937,7 +4952,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/hyperopt/hyperopt ``` -- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.2M / month Β· πŸ“¦ 510 Β· ⏱️ 17.11.2021): +- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.1M / month Β· πŸ“¦ 510 Β· ⏱️ 17.11.2021): ``` pip install hyperopt ``` @@ -4948,12 +4963,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Bayesian Optimization (πŸ₯ˆ31 Β· ⭐ 7.5K) - A Python implementation of global optimization with.. MIT -- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 1.5K Β· πŸ“₯ 140 Β· πŸ“¦ 2.5K Β· πŸ“‹ 340 - 4% open Β· ⏱️ 06.03.2024): +- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 1.5K Β· πŸ“₯ 140 Β· πŸ“¦ 2.6K Β· πŸ“‹ 340 - 4% open Β· ⏱️ 06.03.2024): ``` git clone https://github.com/fmfn/BayesianOptimization ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 390K / month Β· πŸ“¦ 120 Β· ⏱️ 25.04.2023): +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 430K / month Β· πŸ“¦ 130 Β· ⏱️ 25.04.2023): ``` pip install bayesian-optimization ``` @@ -4965,7 +4980,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 290K / month Β· πŸ“¦ 66 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 300K / month Β· πŸ“¦ 66 Β· ⏱️ 04.03.2024): ``` pip install keras-tuner ``` @@ -4985,7 +5000,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` pip install auto-sklearn ``` -- [Conda](https://anaconda.org/conda-forge/auto-sklearn) (πŸ“₯ 21K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/auto-sklearn) (πŸ“₯ 22K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge auto-sklearn ``` @@ -4997,7 +5012,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 100K / month Β· πŸ“¦ 33 Β· ⏱️ 20.02.2024): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 120K / month Β· πŸ“¦ 33 Β· ⏱️ 20.02.2024): ``` pip install nevergrad ``` @@ -5013,35 +5028,35 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 4.3K / month Β· πŸ“¦ 2 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 4K / month Β· πŸ“¦ 2 Β· ⏱️ 10.04.2024): ``` pip install mljar-supervised ``` -- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 13K Β· ⏱️ 15.04.2024): +- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 14K Β· ⏱️ 15.04.2024): ``` conda install -c conda-forge mljar-supervised ```
-
Talos (πŸ₯ˆ24 Β· ⭐ 1.6K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT +
Talos (πŸ₯ˆ27 Β· ⭐ 1.6K Β· πŸ“ˆ) - Hyperparameter Experiments with TensorFlow and Keras. MIT -- [GitHub](https://github.com/autonomio/talos) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 270 Β· πŸ“¦ 170 Β· πŸ“‹ 400 - 2% open Β· ⏱️ 29.03.2024): +- [GitHub](https://github.com/autonomio/talos) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 270 Β· πŸ“¦ 170 Β· πŸ“‹ 400 - 2% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/autonomio/talos ``` -- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.6K / month Β· πŸ“¦ 8 Β· ⏱️ 28.05.2022): +- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 2K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): ``` pip install talos ```
FEDOT (πŸ₯‰23 Β· ⭐ 600) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 82 Β· πŸ“¦ 45 Β· πŸ“‹ 530 - 17% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 83 Β· πŸ“¦ 45 Β· πŸ“‹ 530 - 17% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 850 / month Β· πŸ“¦ 3 Β· ⏱️ 05.03.2024): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 940 / month Β· πŸ“¦ 3 Β· ⏱️ 05.03.2024): ``` pip install fedot ``` @@ -5053,7 +5068,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 6.4K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 7K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): ``` pip install featurewiz ``` @@ -5065,7 +5080,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.9K / month Β· πŸ“¦ 5 Β· ⏱️ 24.10.2023): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 3.6K / month Β· πŸ“¦ 5 Β· ⏱️ 24.10.2023): ``` pip install hyperactive ``` @@ -5077,55 +5092,55 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/nidhaloff/igel ``` -- [PyPi](https://pypi.org/project/igel) (πŸ“₯ 170 / month Β· ⏱️ 19.11.2021): +- [PyPi](https://pypi.org/project/igel) (πŸ“₯ 230 / month Β· ⏱️ 19.11.2021): ``` pip install igel ```
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shap-hypetune (πŸ₯‰19 Β· ⭐ 530) - A python package for simultaneous Hyperparameters Tuning and.. MIT +
Auto ViML (πŸ₯‰20 Β· ⭐ 490) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 -- [GitHub](https://github.com/cerlymarco/shap-hypetune) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 68 Β· πŸ“¦ 15 Β· πŸ“‹ 32 - 12% open Β· ⏱️ 21.02.2024): +- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 97 Β· πŸ“¦ 24 Β· πŸ“‹ 34 - 8% open Β· ⏱️ 03.12.2023): ``` - git clone https://github.com/cerlymarco/shap-hypetune + git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 2K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): ``` - pip install shap-hypetune + pip install autoviml ```
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Auto ViML (πŸ₯‰19 Β· ⭐ 490) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 +
shap-hypetune (πŸ₯‰19 Β· ⭐ 530) - A python package for simultaneous Hyperparameters Tuning and.. MIT -- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 97 Β· πŸ“¦ 24 Β· πŸ“‹ 34 - 8% open Β· ⏱️ 03.12.2023): +- [GitHub](https://github.com/cerlymarco/shap-hypetune) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 68 Β· πŸ“¦ 15 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 21.02.2024): ``` - git clone https://github.com/AutoViML/Auto_ViML + git clone https://github.com/cerlymarco/shap-hypetune ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 780 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 1.8K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): ``` - pip install autoviml + pip install shap-hypetune ```
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AlphaPy (πŸ₯‰18 Β· ⭐ 1K) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 +
AlphaPy (πŸ₯‰18 Β· ⭐ 1.1K) - Python AutoML for Trading Systems and Sports Betting. Apache-2 - [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 190 Β· πŸ“¦ 4 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 10.02.2024): ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 92 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 140 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ```
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opytimizer (πŸ₯‰16 Β· ⭐ 590) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 +
opytimizer (πŸ₯‰17 Β· ⭐ 590) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 - [GitHub](https://github.com/gugarosa/opytimizer) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 41 Β· πŸ“¦ 16 Β· ⏱️ 21.12.2023): ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 92 / month Β· ⏱️ 04.05.2022): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 180 / month Β· ⏱️ 04.05.2022): ``` pip install opytimizer ``` @@ -5140,7 +5155,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - SMAC3 (πŸ₯ˆ25 Β· ⭐ 1K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - GPyOpt (πŸ₯ˆ25 Β· ⭐ 920 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 - lightwood (πŸ₯ˆ25 Β· ⭐ 420) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 -- AdaNet (πŸ₯‰23 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 +- AdaNet (πŸ₯‰24 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - Orion (πŸ₯‰23 Β· ⭐ 280) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - sklearn-deap (πŸ₯‰22 Β· ⭐ 760 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT @@ -5172,9 +5187,9 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc _Libraries for building and evaluating reinforcement learning & agent-based systems._ -
FinRL (πŸ₯‡30 Β· ⭐ 9K) - FinRL: Financial Reinforcement Learning. MIT +
FinRL (πŸ₯‡30 Β· ⭐ 9.1K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 36 Β· πŸ“‹ 690 - 31% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 36 Β· πŸ“‹ 690 - 31% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/AI4Finance-Foundation/FinRL @@ -5184,26 +5199,26 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst pip install finrl ```
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TF-Agents (πŸ₯‡29 Β· ⭐ 2.7K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 +
TF-Agents (πŸ₯‡30 Β· ⭐ 2.7K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 -- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“‹ 650 - 28% open Β· ⏱️ 20.03.2024): +- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“‹ 660 - 28% open Β· ⏱️ 20.03.2024): ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 99K / month Β· πŸ“¦ 9 Β· ⏱️ 14.12.2023): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 98K / month Β· πŸ“¦ 10 Β· ⏱️ 14.12.2023): ``` pip install tf-agents ```
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ViZDoom (πŸ₯‡29 Β· ⭐ 1.7K) - Reinforcement Learning environments based on the 1993 game Doom. MIT +
ViZDoom (πŸ₯ˆ29 Β· ⭐ 1.7K) - Reinforcement Learning environments based on the 1993 game Doom. MIT -- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 380 Β· πŸ“₯ 12K Β· πŸ“¦ 230 Β· πŸ“‹ 460 - 8% open Β· ⏱️ 13.02.2024): +- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 380 Β· πŸ“₯ 12K Β· πŸ“¦ 230 Β· πŸ“‹ 460 - 9% open Β· ⏱️ 13.02.2024): ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 2.5K / month Β· πŸ“¦ 19 Β· ⏱️ 16.12.2023): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 3.5K / month Β· πŸ“¦ 19 Β· ⏱️ 16.12.2023): ``` pip install vizdoom ``` @@ -5215,7 +5230,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 28K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 27K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): ``` pip install dopamine-rl ``` @@ -5227,11 +5242,11 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 3K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 2.7K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` pip install dm-acme ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 8.2K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 8.3K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dm-acme ``` @@ -5243,7 +5258,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 630 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 720 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ``` @@ -5255,7 +5270,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 1.5M / month Β· πŸ“¦ 11 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 1.7M / month Β· πŸ“¦ 11 Β· ⏱️ 09.01.2023): ``` pip install rlax ``` @@ -5267,38 +5282,38 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 880 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 940 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ```
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ReAgent (πŸ₯‰22 Β· ⭐ 3.5K Β· πŸ“‰) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 +
ReAgent (πŸ₯‰23 Β· ⭐ 3.5K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 - [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 500 Β· πŸ“‹ 140 - 47% open Β· ⏱️ 03.04.2024): ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 20 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 28 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ```
PFRL (πŸ₯‰22 Β· ⭐ 1.1K Β· πŸ’€) - PFRL: a PyTorch-based deep reinforcement learning library. MIT -- [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 150 Β· πŸ“¦ 100 Β· πŸ“‹ 78 - 42% open Β· ⏱️ 16.07.2023): +- [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 150 Β· πŸ“¦ 110 Β· πŸ“‹ 78 - 42% open Β· ⏱️ 16.07.2023): ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 330 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 300 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): ``` pip install pfrl ```
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rliable (πŸ₯‰13 Β· ⭐ 690) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 +
rliable (πŸ₯‰13 Β· ⭐ 700) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 -- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 43 Β· πŸ“¦ 120 Β· πŸ“‹ 15 - 20% open Β· ⏱️ 29.01.2024): +- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 43 Β· πŸ“¦ 130 Β· πŸ“‹ 15 - 20% open Β· ⏱️ 29.01.2024): ``` git clone https://github.com/google-research/rliable @@ -5333,12 +5348,12 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (πŸ₯‡34 Β· ⭐ 18K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3K Β· πŸ“₯ 470 Β· πŸ“¦ 110 Β· πŸ“‹ 830 - 19% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3K Β· πŸ“₯ 470 Β· πŸ“¦ 110 Β· πŸ“‹ 830 - 20% open Β· ⏱️ 05.04.2024): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 41K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 33K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): ``` pip install recommenders ``` @@ -5350,15 +5365,27 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/benfred/implicit ``` -- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 160K / month Β· πŸ“¦ 40 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 170K / month Β· πŸ“¦ 40 Β· ⏱️ 29.09.2023): ``` pip install implicit ``` -- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 580K Β· ⏱️ 21.11.2023): +- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 590K Β· ⏱️ 21.11.2023): ``` conda install -c conda-forge implicit ```
+
torchrec (πŸ₯‡30 Β· ⭐ 1.7K) - Pytorch domain library for recommendation systems. BSD-3 + +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 350 Β· πŸ“¦ 100 Β· πŸ“‹ 340 - 70% open Β· ⏱️ 24.04.2024): + + ``` + git clone https://github.com/pytorch/torchrec + ``` +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 920 / month Β· ⏱️ 12.05.2022): + ``` + pip install torchrec-nightly-cpu + ``` +
lightfm (πŸ₯ˆ29 Β· ⭐ 4.6K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 - [GitHub](https://github.com/lyst/lightfm) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 670 Β· πŸ“¦ 1.4K Β· πŸ“‹ 500 - 28% open Β· ⏱️ 30.04.2023): @@ -5366,7 +5393,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/lyst/lightfm ``` -- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 570K / month Β· πŸ“¦ 50 Β· ⏱️ 20.03.2023): +- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 530K / month Β· πŸ“¦ 50 Β· ⏱️ 20.03.2023): ``` pip install lightfm ``` @@ -5377,40 +5404,28 @@ _Libraries for building and evaluating recommendation systems._
TF Recommenders (πŸ₯ˆ29 Β· ⭐ 1.7K) - TensorFlow Recommenders is a library for building.. Apache-2 -- [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 260 Β· πŸ“¦ 300 Β· πŸ“‹ 420 - 55% open Β· ⏱️ 16.02.2024): +- [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 260 Β· πŸ“¦ 310 Β· πŸ“‹ 420 - 55% open Β· ⏱️ 16.02.2024): ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 460K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 470K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): ``` pip install tensorflow-recommenders ```
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torchrec (πŸ₯ˆ29 Β· ⭐ 1.7K) - Pytorch domain library for recommendation systems. BSD-3 +
Cornac (πŸ₯ˆ29 Β· ⭐ 820) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 350 Β· πŸ“¦ 100 Β· πŸ“‹ 320 - 68% open Β· ⏱️ 18.04.2024): - - ``` - git clone https://github.com/pytorch/torchrec - ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 36 / month Β· ⏱️ 12.05.2022): - ``` - pip install torchrec-nightly-cpu - ``` -
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Cornac (πŸ₯ˆ29 Β· ⭐ 810) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 - -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 140 - 8% open Β· ⏱️ 04.04.2024): +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 140 - 8% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/PreferredAI/cornac ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 66K / month Β· πŸ“¦ 16 Β· ⏱️ 21.03.2024): +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 53K / month Β· πŸ“¦ 16 Β· ⏱️ 21.03.2024): ``` pip install cornac ``` -- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 360K Β· ⏱️ 04.04.2024): +- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 370K Β· ⏱️ 04.04.2024): ``` conda install -c conda-forge cornac ``` @@ -5422,19 +5437,19 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/ranking ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 95K / month Β· πŸ“¦ 13 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 94K / month Β· πŸ“¦ 13 Β· ⏱️ 18.03.2024): ``` pip install tensorflow_ranking ```
RecBole (πŸ₯‰26 Β· ⭐ 3.2K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 580 Β· πŸ“‹ 920 - 24% open Β· ⏱️ 30.03.2024): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 580 Β· πŸ“‹ 920 - 25% open Β· ⏱️ 30.03.2024): ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 3.2K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 3.9K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): ``` pip install recbole ``` @@ -5459,10 +5474,10 @@ _Libraries for building and evaluating recommendation systems._ - scikit-surprise (πŸ₯‰27 Β· ⭐ 6.2K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 - lkpy (πŸ₯‰25 Β· ⭐ 260) - Python recommendation toolkit. MIT -- tensorrec (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 +- tensorrec (πŸ₯‰21 Β· ⭐ 1.3K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 - Spotlight (πŸ₯‰18 Β· ⭐ 2.9K Β· πŸ’€) - Deep recommender models using PyTorch. MIT -- Case Recommender (πŸ₯‰17 Β· ⭐ 460 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT +- Case Recommender (πŸ₯‰18 Β· ⭐ 460 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT - OpenRec (πŸ₯‰16 Β· ⭐ 410 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2 - Collie (πŸ₯‰16 Β· ⭐ 100 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3
@@ -5474,21 +5489,21 @@ _Libraries for building and evaluating recommendation systems._ _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._ -
PySyft (πŸ₯‡36 Β· ⭐ 9.2K) - Perform data science on data that remains in someone elses server. Apache-2 +
PySyft (πŸ₯‡36 Β· ⭐ 9.3K) - Perform data science on data that remains in someone elses server. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2K Β· πŸ“₯ 2.5K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 0% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2K Β· πŸ“₯ 2.5K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 0% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 6.6K / month Β· πŸ“¦ 5 Β· ⏱️ 07.04.2024): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 7.8K / month Β· πŸ“¦ 5 Β· ⏱️ 25.04.2024): ``` pip install syft ```
Opacus (πŸ₯ˆ30 Β· ⭐ 1.6K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 320 Β· πŸ“₯ 110 Β· πŸ“¦ 760 Β· πŸ“‹ 290 - 26% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 320 Β· πŸ“₯ 110 Β· πŸ“¦ 770 Β· πŸ“‹ 290 - 26% open Β· ⏱️ 05.03.2024): ``` git clone https://github.com/pytorch/opacus @@ -5502,28 +5517,28 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l conda install -c conda-forge opacus ```
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FATE (πŸ₯ˆ26 Β· ⭐ 5.5K) - An Industrial Grade Federated Learning Framework. Apache-2 +
TensorFlow Privacy (πŸ₯ˆ27 Β· ⭐ 1.9K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.9K - 43% open Β· ⏱️ 08.03.2024): +- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 450 Β· πŸ“₯ 150 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 25.04.2024): ``` - git clone https://github.com/FederatedAI/FATE + git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/ETAF) (⏱️ 06.05.2020): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 19K / month Β· πŸ“¦ 15 Β· ⏱️ 14.02.2024): ``` - pip install ETAF + pip install tensorflow-privacy ```
-
TensorFlow Privacy (πŸ₯ˆ26 Β· ⭐ 1.9K) - Library for training machine learning models with.. Apache-2 +
FATE (πŸ₯‰26 Β· ⭐ 5.5K) - An Industrial Grade Federated Learning Framework. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 450 Β· πŸ“₯ 150 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.9K - 43% open Β· ⏱️ 08.03.2024): ``` - git clone https://github.com/tensorflow/privacy + git clone https://github.com/FederatedAI/FATE ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 18K / month Β· πŸ“¦ 15 Β· ⏱️ 14.02.2024): +- [PyPi](https://pypi.org/project/ETAF) (⏱️ 06.05.2020): ``` - pip install tensorflow-privacy + pip install ETAF ```
CrypTen (πŸ₯‰24 Β· ⭐ 1.5K) - A framework for Privacy Preserving Machine Learning. MIT @@ -5533,7 +5548,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 430 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 380 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` pip install crypten ``` @@ -5541,7 +5556,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
Show 2 hidden projects... - TFEncrypted (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - A Framework for Encrypted Machine Learning in.. Apache-2 -- PipelineDP (πŸ₯‰17 Β· ⭐ 270) - PipelineDP is a Python framework for applying differentially.. Apache-2 +- PipelineDP (πŸ₯‰18 Β· ⭐ 270) - PipelineDP is a Python framework for applying differentially.. Apache-2

@@ -5553,7 +5568,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 17K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 3.9K Β· πŸ“¦ 34K Β· πŸ“‹ 3.8K - 37% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 3.9K Β· πŸ“¦ 34K Β· πŸ“‹ 3.8K - 37% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/mlflow/mlflow @@ -5562,14 +5577,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.9M Β· ⏱️ 18.04.2024): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.9M Β· ⏱️ 19.04.2024): ``` conda install -c conda-forge mlflow ```
Tensorboard (πŸ₯‡44 Β· ⭐ 6.5K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“¦ 230K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“¦ 230K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/tensorflow/tensorboard @@ -5585,28 +5600,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
wandb client (πŸ₯‡42 Β· ⭐ 8.2K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 600 Β· πŸ“¦ 43K Β· πŸ“‹ 3.1K - 26% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 600 Β· πŸ“¦ 44K Β· πŸ“‹ 3.1K - 26% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 13M / month Β· πŸ“¦ 800 Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 13M / month Β· πŸ“¦ 800 Β· ⏱️ 19.04.2024): ``` pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 480K Β· ⏱️ 25.03.2024): +- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 490K Β· ⏱️ 25.03.2024): ``` conda install -c conda-forge wandb ```
DVC (πŸ₯‡41 Β· ⭐ 13K) - ML Experiments and Data Management with Git. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“₯ 43K Β· πŸ“¦ 14K Β· πŸ“‹ 4.6K - 5% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“₯ 43K Β· πŸ“¦ 15K Β· πŸ“‹ 4.6K - 5% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 450K / month Β· πŸ“¦ 99 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 460K / month Β· πŸ“¦ 99 Β· ⏱️ 16.04.2024): ``` pip install dvc ``` @@ -5617,28 +5632,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
SageMaker SDK (πŸ₯ˆ40 Β· ⭐ 2K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.8K Β· πŸ“‹ 1.5K - 19% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.9K Β· πŸ“‹ 1.5K - 19% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 28M / month Β· πŸ“¦ 99 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 28M / month Β· πŸ“¦ 99 Β· ⏱️ 24.04.2024): ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 730K Β· ⏱️ 18.04.2024): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 740K Β· ⏱️ 23.04.2024): ``` conda install -c conda-forge sagemaker-python-sdk ```
PyCaret (πŸ₯ˆ38 Β· ⭐ 8.4K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“₯ 690 Β· πŸ“¦ 5.5K Β· πŸ“‹ 2.3K - 15% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.7K Β· πŸ“₯ 690 Β· πŸ“¦ 5.5K Β· πŸ“‹ 2.3K - 15% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 350K / month Β· πŸ“¦ 19 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 360K / month Β· πŸ“¦ 19 Β· ⏱️ 16.04.2024): ``` pip install pycaret ``` @@ -5649,12 +5664,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
ClearML (πŸ₯ˆ34 Β· ⭐ 5.2K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 630 Β· πŸ“₯ 2.4K Β· πŸ“¦ 1K Β· πŸ“‹ 980 - 45% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 630 Β· πŸ“₯ 2.4K Β· πŸ“¦ 1.1K Β· πŸ“‹ 980 - 45% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 320K / month Β· πŸ“¦ 18 Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 310K / month Β· πŸ“¦ 18 Β· ⏱️ 09.04.2024): ``` pip install clearml ``` @@ -5663,58 +5678,58 @@ _Libraries to organize, track, and visualize machine learning experiments._ docker pull allegroai/trains ```
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AzureML SDK (πŸ₯ˆ34 Β· ⭐ 3.9K) - Python notebooks with ML and deep learning examples with Azure.. MIT +
AzureML SDK (πŸ₯ˆ34 Β· ⭐ 4K) - Python notebooks with ML and deep learning examples with Azure Machine.. MIT - [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.5K Β· πŸ“₯ 550 Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 15.02.2024): ``` git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 620K / month Β· πŸ“¦ 48 Β· ⏱️ 06.02.2024): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 630K / month Β· πŸ“¦ 48 Β· ⏱️ 06.02.2024): ``` pip install azureml-sdk ```
snakemake (πŸ₯ˆ34 Β· ⭐ 2.1K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 510 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.6K - 61% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 510 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.7K - 62% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 160K / month Β· πŸ“¦ 270 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 140K / month Β· πŸ“¦ 270 Β· ⏱️ 25.04.2024): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1M Β· ⏱️ 12.04.2024): +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1M Β· ⏱️ 23.04.2024): ``` conda install -c bioconda snakemake ```
Metaflow (πŸ₯ˆ33 Β· ⭐ 7.6K) - Build and manage real-life ML, AI, and data science projects with.. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 720 Β· πŸ“¦ 620 Β· πŸ“‹ 680 - 45% open Β· ⏱️ 11.04.2024): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 720 Β· πŸ“¦ 630 Β· πŸ“‹ 680 - 45% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 250K / month Β· πŸ“¦ 28 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 300K / month Β· πŸ“¦ 28 Β· ⏱️ 12.04.2024): ``` pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 160K Β· ⏱️ 13.04.2024): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 170K Β· ⏱️ 13.04.2024): ``` conda install -c conda-forge metaflow ```
tensorboardX (πŸ₯ˆ32 Β· ⭐ 7.8K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT -- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 870 Β· πŸ“₯ 410 Β· πŸ“¦ 42K Β· πŸ“‹ 450 - 17% open Β· ⏱️ 12.11.2023): +- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 870 Β· πŸ“₯ 420 Β· πŸ“¦ 43K Β· πŸ“‹ 450 - 17% open Β· ⏱️ 12.11.2023): ``` git clone https://github.com/lanpa/tensorboardX ``` -- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 2.3M / month Β· πŸ“¦ 1K Β· ⏱️ 20.08.2023): +- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 2.2M / month Β· πŸ“¦ 1K Β· ⏱️ 20.08.2023): ``` pip install tensorboardX ``` @@ -5725,7 +5740,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
kaggle (πŸ₯ˆ32 Β· ⭐ 5.9K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 460 - 33% open Β· ⏱️ 12.04.2024): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 460 - 33% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/Kaggle/kaggle-api @@ -5741,12 +5756,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (πŸ₯ˆ32 Β· ⭐ 4.8K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 280 Β· πŸ“¦ 510 Β· πŸ“‹ 990 - 34% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 280 Β· πŸ“¦ 520 Β· πŸ“‹ 990 - 34% open Β· ⏱️ 17.04.2024): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 67K / month Β· πŸ“¦ 24 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 71K / month Β· πŸ“¦ 24 Β· ⏱️ 25.04.2024): ``` pip install aim ``` @@ -5766,14 +5781,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install sacred ``` -- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 4.9K Β· ⏱️ 28.11.2023): +- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 5.1K Β· ⏱️ 28.11.2023): ``` conda install -c conda-forge sacred ```
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Neptune.ai (πŸ₯ˆ31 Β· ⭐ 530) - The MLOps stack component for experiment tracking. Apache-2 +
Neptune.ai (πŸ₯ˆ31 Β· ⭐ 540) - The MLOps stack component for experiment tracking. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 57 Β· πŸ“¦ 440 Β· πŸ“‹ 240 - 12% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 57 Β· πŸ“¦ 450 Β· πŸ“‹ 240 - 12% open Β· ⏱️ 19.04.2024): ``` git clone https://github.com/neptune-ai/neptune-client @@ -5801,19 +5816,19 @@ _Libraries to organize, track, and visualize machine learning experiments._
Labml (πŸ₯‰28 Β· ⭐ 1.9K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 140 Β· πŸ“‹ 38 - 42% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 140 Β· πŸ“‹ 38 - 42% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 4.2K / month Β· πŸ“¦ 6 Β· ⏱️ 21.03.2024): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 4.4K / month Β· πŸ“¦ 6 Β· ⏱️ 21.03.2024): ``` pip install labml ```
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quinn (πŸ₯‰28 Β· ⭐ 570) - pyspark methods to enhance developer productivity. Apache-2 +
quinn (πŸ₯‰28 Β· ⭐ 580) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 88 Β· πŸ“₯ 23 Β· πŸ“¦ 76 Β· πŸ“‹ 120 - 31% open Β· ⏱️ 14.04.2024): +- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 89 Β· πŸ“₯ 23 Β· πŸ“¦ 76 Β· πŸ“‹ 120 - 31% open Β· ⏱️ 14.04.2024): ``` git clone https://github.com/MrPowers/quinn @@ -5825,40 +5840,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
TNT (πŸ₯‰26 Β· ⭐ 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 260 Β· πŸ“‹ 120 - 47% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 260 Β· πŸ“‹ 120 - 47% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 6.9K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 7K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): ``` pip install torchnet ```
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ml-metadata (πŸ₯‰25 Β· ⭐ 600) - For recording and retrieving metadata associated with ML.. Apache-2 +
ml-metadata (πŸ₯‰26 Β· ⭐ 600) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 140 Β· πŸ“₯ 2.1K Β· πŸ“¦ 430 Β· πŸ“‹ 110 - 31% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 130 Β· πŸ“₯ 2.1K Β· πŸ“¦ 430 Β· πŸ“‹ 120 - 35% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 68K / month Β· πŸ“¦ 24 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 71K / month Β· πŸ“¦ 24 Β· ⏱️ 23.04.2024): ``` pip install ml-metadata ```
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gokart (πŸ₯‰25 Β· ⭐ 300) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT - -- [GitHub](https://github.com/m3dev/gokart) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 56 Β· πŸ“¦ 75 Β· πŸ“‹ 81 - 25% open Β· ⏱️ 17.04.2024): - - ``` - git clone https://github.com/m3dev/gokart - ``` -- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 4.4K / month Β· πŸ“¦ 5 Β· ⏱️ 05.04.2024): - ``` - pip install gokart - ``` -
Guild AI (πŸ₯‰23 Β· ⭐ 860 Β· πŸ’€) - Experiment tracking, ML developer tools. Apache-2 - [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 84 Β· πŸ“₯ 16 Β· πŸ“¦ 95 Β· πŸ“‹ 440 - 50% open Β· ⏱️ 12.08.2023): @@ -5866,7 +5869,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 1.3K / month Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 1.4K / month Β· ⏱️ 11.05.2022): ``` pip install guildai ``` @@ -5878,7 +5881,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 220 / month Β· ⏱️ 14.09.2021): +- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 690 / month Β· ⏱️ 14.09.2021): ``` pip install studioml ``` @@ -5890,7 +5893,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 870 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 840 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): ``` pip install tensorwatch ``` @@ -5902,7 +5905,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 78 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 110 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ``` @@ -5914,7 +5917,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/comet-ml/examples ``` -- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 160K / month Β· πŸ“¦ 67 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 180K / month Β· πŸ“¦ 67 Β· ⏱️ 24.04.2024): ``` pip install comet_ml ``` @@ -5923,22 +5926,23 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c anaconda comet_ml ```
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Show 14 hidden projects... +
Show 15 hidden projects... - Catalyst (πŸ₯ˆ29 Β· ⭐ 3.2K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 - knockknock (πŸ₯‰26 Β· ⭐ 2.7K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - livelossplot (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - Live training loss plot in Jupyter Notebook for Keras,.. MIT - SKLL (πŸ₯‰25 Β· ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause +- gokart (πŸ₯‰25 Β· ⭐ 300) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT - hiddenlayer (πŸ₯‰23 Β· ⭐ 1.8K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT +- lore (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT - TensorBoard Logger (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT -- lore (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT -- MXBoard (πŸ₯‰20 Β· ⭐ 330 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 +- MXBoard (πŸ₯‰20 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 - keepsake (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - Version control for machine learning. Apache-2 -- datmo (πŸ₯‰17 Β· ⭐ 350 Β· πŸ’€) - Open source production model management tool for data scientists. MIT +- datmo (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT - chitra (πŸ₯‰17 Β· ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 - steppy (πŸ₯‰16 Β· ⭐ 130 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT -- ModelChimp (πŸ₯‰11 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 -- traintool (πŸ₯‰8 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2 +- ModelChimp (πŸ₯‰12 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 +- traintool (πŸ₯‰9 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2

@@ -5950,12 +5954,12 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡43 Β· ⭐ 17K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.6K Β· πŸ“₯ 20K Β· πŸ“¦ 26K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.6K Β· πŸ“₯ 20K Β· πŸ“¦ 27K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 5.3M / month Β· πŸ“¦ 740 Β· ⏱️ 25.03.2024): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 5.4M / month Β· πŸ“¦ 750 Β· ⏱️ 25.03.2024): ``` pip install onnx ``` @@ -5966,24 +5970,24 @@ _Libraries to serialize models to files, convert between a variety of model form
triton (πŸ₯‡43 Β· ⭐ 11K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.3K Β· πŸ“¦ 23K Β· πŸ“‹ 1.2K - 44% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.3K Β· πŸ“¦ 23K Β· πŸ“‹ 1.2K - 43% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 10M / month Β· πŸ“¦ 110 Β· ⏱️ 05.04.2024): +- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 11M / month Β· πŸ“¦ 110 Β· ⏱️ 05.04.2024): ``` pip install triton ```
huggingface_hub (πŸ₯ˆ37 Β· ⭐ 1.7K) - The official Python client for the Huggingface Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 420 Β· πŸ“‹ 820 - 19% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 430 Β· πŸ“‹ 820 - 18% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 33M / month Β· πŸ“¦ 780 Β· ⏱️ 29.03.2024): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 33M / month Β· πŸ“¦ 790 Β· ⏱️ 29.03.2024): ``` pip install huggingface_hub ``` @@ -5994,24 +5998,24 @@ _Libraries to serialize models to files, convert between a variety of model form
BentoML (πŸ₯ˆ36 Β· ⭐ 6.5K) - The most flexible way to serve AI/ML models in production - Build.. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 730 Β· πŸ“₯ 1.7K Β· πŸ“¦ 1.7K Β· πŸ“‹ 1K - 21% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 740 Β· πŸ“₯ 1.7K Β· πŸ“¦ 1.7K Β· πŸ“‹ 1K - 21% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 66K / month Β· πŸ“¦ 14 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 67K / month Β· πŸ“¦ 14 Β· ⏱️ 19.04.2024): ``` pip install bentoml ```
TorchServe (πŸ₯ˆ35 Β· ⭐ 4K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 800 Β· πŸ“₯ 5.6K Β· πŸ“¦ 640 Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 800 Β· πŸ“₯ 5.6K Β· πŸ“¦ 640 Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 52K / month Β· πŸ“¦ 16 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 50K / month Β· πŸ“¦ 16 Β· ⏱️ 14.03.2024): ``` pip install torchserve ``` @@ -6024,25 +6028,25 @@ _Libraries to serialize models to files, convert between a variety of model form docker pull pytorch/torchserve ```
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Core ML Tools (πŸ₯ˆ34 Β· ⭐ 4K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 +
Core ML Tools (πŸ₯ˆ34 Β· ⭐ 4.1K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 590 Β· πŸ“₯ 9.3K Β· πŸ“¦ 3.7K Β· πŸ“‹ 1.3K - 21% open Β· ⏱️ 11.04.2024): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 590 Β· πŸ“₯ 9.3K Β· πŸ“¦ 3.7K Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 210K / month Β· πŸ“¦ 170 Β· ⏱️ 01.11.2023): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 230K / month Β· πŸ“¦ 180 Β· ⏱️ 23.04.2024): ``` pip install coremltools ``` -- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 54K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 55K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge coremltools ```
-
hls4ml (πŸ₯ˆ27 Β· ⭐ 1.1K Β· πŸ“ˆ) - Machine learning on FPGAs using HLS. Apache-2 +
hls4ml (πŸ₯ˆ27 Β· ⭐ 1.1K) - Machine learning on FPGAs using HLS. Apache-2 -- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 360 Β· πŸ“‹ 410 - 38% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 360 Β· πŸ“‹ 410 - 38% open Β· ⏱️ 19.04.2024): ``` git clone https://github.com/fastmachinelearning/hls4ml @@ -6051,19 +6055,19 @@ _Libraries to serialize models to files, convert between a variety of model form ``` pip install hls4ml ``` -- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 7.3K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 7.4K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge hls4ml ```
Hummingbird (πŸ₯ˆ26 Β· ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 270 Β· πŸ“₯ 400 Β· πŸ“‹ 320 - 18% open Β· ⏱️ 08.03.2024): +- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 270 Β· πŸ“₯ 440 Β· πŸ“‹ 320 - 18% open Β· ⏱️ 08.03.2024): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 7.9K / month Β· πŸ“¦ 4 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 7.2K / month Β· πŸ“¦ 4 Β· ⏱️ 08.03.2024): ``` pip install hummingbird-ml ``` @@ -6079,19 +6083,19 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 670 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 790 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ```
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tfdeploy (πŸ₯‰15 Β· ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 +
tfdeploy (πŸ₯‰16 Β· ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 - [GitHub](https://github.com/riga/tfdeploy) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 38 Β· πŸ“‹ 34 - 32% open Β· ⏱️ 25.02.2024): ``` git clone https://github.com/riga/tfdeploy ``` -- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 11 / month Β· πŸ“¦ 2 Β· ⏱️ 30.03.2017): +- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 61 / month Β· πŸ“¦ 2 Β· ⏱️ 30.03.2017): ``` pip install tfdeploy ``` @@ -6104,8 +6108,8 @@ _Libraries to serialize models to files, convert between a variety of model form - cortex (πŸ₯‰22 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 - Larq Compute Engine (πŸ₯‰20 Β· ⭐ 240) - Highly optimized inference engine for Binarized.. Apache-2 - pytorch2keras (πŸ₯‰19 Β· ⭐ 850 Β· πŸ’€) - PyTorch to Keras model convertor. MIT +- OMLT (πŸ₯‰19 Β· ⭐ 250) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 - modelkit (πŸ₯‰19 Β· ⭐ 150) - Toolkit for developing and maintaining ML models. MIT -- OMLT (πŸ₯‰18 Β· ⭐ 240) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 - backprop (πŸ₯‰14 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 - ml-ane-transformers (πŸ₯‰13 Β· ⭐ 2.5K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed
@@ -6119,12 +6123,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (πŸ₯‡43 Β· ⭐ 22K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.1K Β· πŸ“¦ 17K Β· πŸ“‹ 2.4K - 46% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.1K Β· πŸ“¦ 17K Β· πŸ“‹ 2.4K - 45% open Β· ⏱️ 05.04.2024): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.9M / month Β· πŸ“¦ 490 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.7M / month Β· πŸ“¦ 490 Β· ⏱️ 08.03.2024): ``` pip install shap ``` @@ -6135,7 +6139,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
arviz (πŸ₯‡36 Β· ⭐ 1.5K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 370 Β· πŸ“₯ 130 Β· πŸ“¦ 6.2K Β· πŸ“‹ 850 - 20% open Β· ⏱️ 08.04.2024): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 370 Β· πŸ“₯ 130 Β· πŸ“¦ 6.3K Β· πŸ“‹ 850 - 20% open Β· ⏱️ 08.04.2024): ``` git clone https://github.com/arviz-devs/arviz @@ -6151,31 +6155,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (πŸ₯‡34 Β· ⭐ 26K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.7K Β· πŸ“₯ 130K Β· πŸ“¦ 12 Β· πŸ“‹ 1.1K - 2% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.7K Β· πŸ“₯ 130K Β· πŸ“¦ 12 Β· πŸ“‹ 1.1K - 2% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 27K / month Β· πŸ“¦ 75 Β· ⏱️ 13.04.2024): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 26K / month Β· πŸ“¦ 75 Β· ⏱️ 20.04.2024): ``` pip install netron ```
InterpretML (πŸ₯‡33 Β· ⭐ 6K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 710 Β· πŸ“¦ 660 Β· πŸ“‹ 420 - 22% open Β· ⏱️ 14.04.2024): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 710 Β· πŸ“¦ 660 Β· πŸ“‹ 420 - 22% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 90K / month Β· πŸ“¦ 32 Β· ⏱️ 14.04.2024): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 83K / month Β· πŸ“¦ 32 Β· ⏱️ 14.04.2024): ``` pip install interpret ```
Captum (πŸ₯‡33 Β· ⭐ 4.6K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 470 Β· πŸ“¦ 2K Β· πŸ“‹ 540 - 38% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 470 Β· πŸ“¦ 2K Β· πŸ“‹ 540 - 38% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/pytorch/captum @@ -6184,7 +6188,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` pip install captum ``` -- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 23K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 24K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge captum ``` @@ -6196,18 +6200,18 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 110K / month Β· πŸ“¦ 10 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 91K / month Β· πŸ“¦ 10 Β· ⏱️ 18.03.2024): ``` pip install explainerdashboard ``` -- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 43K Β· ⏱️ 18.03.2024): +- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 44K Β· ⏱️ 18.03.2024): ``` conda install -c conda-forge explainerdashboard ```
evaluate (πŸ₯ˆ31 Β· ⭐ 1.8K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 -- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 220 Β· πŸ“¦ 8.2K Β· πŸ“‹ 260 - 50% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 220 Β· πŸ“¦ 8.4K Β· πŸ“‹ 260 - 50% open Β· ⏱️ 18.04.2024): ``` git clone https://github.com/huggingface/evaluate @@ -6219,12 +6223,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
DoWhy (πŸ₯ˆ30 Β· ⭐ 6.7K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 890 Β· πŸ“₯ 33 Β· πŸ“¦ 350 Β· πŸ“‹ 440 - 28% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 900 Β· πŸ“₯ 33 Β· πŸ“¦ 360 Β· πŸ“‹ 440 - 28% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 54K / month Β· πŸ“¦ 7 Β· ⏱️ 25.12.2023): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 52K / month Β· πŸ“¦ 7 Β· ⏱️ 25.12.2023): ``` pip install dowhy ``` @@ -6240,7 +6244,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.1K / month Β· πŸ“¦ 2 Β· ⏱️ 12.03.2024): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.3K / month Β· πŸ“¦ 2 Β· ⏱️ 12.03.2024): ``` pip install shapash ``` @@ -6252,55 +6256,51 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 17K / month Β· πŸ“¦ 17 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 18K / month Β· πŸ“¦ 17 Β· ⏱️ 08.04.2024): ``` pip install aif360 ``` -- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 8.9K Β· ⏱️ 09.04.2024): +- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 9.2K Β· ⏱️ 09.04.2024): ``` conda install -c conda-forge aif360 ```
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fairlearn (πŸ₯ˆ29 Β· ⭐ 1.8K) - A Python package to assess and improve fairness of machine.. MIT +
pyLDAvis (πŸ₯ˆ29 Β· ⭐ 1.8K) - Python library for interactive topic model visualization. Port of.. BSD-3 -- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 380 Β· πŸ“¦ 3 Β· πŸ“‹ 460 - 35% open Β· ⏱️ 04.04.2024): +- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 360 Β· πŸ“¦ 6K Β· πŸ“‹ 190 - 41% open Β· ⏱️ 07.02.2024): ``` - git clone https://github.com/fairlearn/fairlearn + git clone https://github.com/bmabey/pyLDAvis ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 250K / month Β· πŸ“¦ 29 Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 170K / month Β· πŸ“¦ 160 Β· ⏱️ 23.04.2023): ``` - pip install fairlearn + pip install pyldavis ``` -- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 31K Β· ⏱️ 20.12.2023): +- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 80K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge fairlearn + conda install -c conda-forge pyldavis ```
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pyLDAvis (πŸ₯ˆ29 Β· ⭐ 1.8K) - Python library for interactive topic model visualization. Port of.. BSD-3 +
Model Analysis (πŸ₯ˆ29 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 -- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 360 Β· πŸ“¦ 5.9K Β· πŸ“‹ 190 - 41% open Β· ⏱️ 07.02.2024): +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 270 Β· πŸ“¦ 2 Β· πŸ“‹ 89 - 38% open Β· ⏱️ 25.04.2024): ``` - git clone https://github.com/bmabey/pyLDAvis - ``` -- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 180K / month Β· πŸ“¦ 160 Β· ⏱️ 23.04.2023): - ``` - pip install pyldavis + git clone https://github.com/tensorflow/model-analysis ``` -- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 79K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 76K / month Β· πŸ“¦ 23 Β· ⏱️ 25.04.2024): ``` - conda install -c conda-forge pyldavis + pip install tensorflow-model-analysis ```
responsible-ai-widgets (πŸ₯ˆ29 Β· ⭐ 1.2K) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 320 Β· πŸ“¦ 96 Β· πŸ“‹ 310 - 27% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 320 Β· πŸ“¦ 97 Β· πŸ“‹ 310 - 27% open Β· ⏱️ 18.04.2024): ``` git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 3.8K / month Β· πŸ“¦ 3 Β· ⏱️ 09.02.2024): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 3.8K / month Β· πŸ“¦ 3 Β· ⏱️ 18.04.2024): ``` pip install raiwidgets ``` @@ -6312,53 +6312,57 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 5.3K / month Β· πŸ“¦ 2 Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 5.2K / month Β· πŸ“¦ 2 Β· ⏱️ 09.04.2024): ``` pip install lit-nlp ``` -- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 68K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 69K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge lit-nlp ```
dtreeviz (πŸ₯ˆ28 Β· ⭐ 2.8K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 330 Β· πŸ“¦ 1.1K Β· πŸ“‹ 200 - 31% open Β· ⏱️ 06.01.2024): +- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 330 Β· πŸ“¦ 1.1K Β· πŸ“‹ 200 - 32% open Β· ⏱️ 06.01.2024): ``` git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 140K / month Β· πŸ“¦ 24 Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 130K / month Β· πŸ“¦ 24 Β· ⏱️ 07.07.2022): ``` pip install dtreeviz ``` -- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 67K Β· ⏱️ 13.07.2023): +- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 68K Β· ⏱️ 13.07.2023): ``` conda install -c conda-forge dtreeviz ```
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imodels (πŸ₯ˆ28 Β· ⭐ 1.3K) - Interpretable ML package for concise, transparent, and accurate.. MIT +
fairlearn (πŸ₯ˆ28 Β· ⭐ 1.8K) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 70 Β· πŸ“‹ 84 - 38% open Β· ⏱️ 03.04.2024): +- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 380 Β· πŸ“¦ 3 Β· πŸ“‹ 460 - 35% open Β· ⏱️ 04.04.2024): ``` - git clone https://github.com/csinva/imodels + git clone https://github.com/fairlearn/fairlearn + ``` +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 250K / month Β· πŸ“¦ 29 Β· ⏱️ 19.12.2023): + ``` + pip install fairlearn ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 190K / month Β· πŸ“¦ 7 Β· ⏱️ 11.03.2024): +- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 32K Β· ⏱️ 20.12.2023): ``` - pip install imodels + conda install -c conda-forge fairlearn ```
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Model Analysis (πŸ₯ˆ28 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 +
imodels (πŸ₯ˆ28 Β· ⭐ 1.3K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 270 Β· πŸ“¦ 2 Β· πŸ“‹ 89 - 38% open Β· ⏱️ 01.04.2024): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 70 Β· πŸ“‹ 84 - 38% open Β· ⏱️ 22.04.2024): ``` - git clone https://github.com/tensorflow/model-analysis + git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 79K / month Β· πŸ“¦ 23 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 120K / month Β· πŸ“¦ 7 Β· ⏱️ 11.03.2024): ``` - pip install tensorflow-model-analysis + pip install imodels ```
yellowbrick (πŸ₯ˆ27 Β· ⭐ 4.2K Β· πŸ’€) - Visual analysis and diagnostic tools to facilitate.. Apache-2 @@ -6368,7 +6372,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 570K / month Β· πŸ“¦ 88 Β· ⏱️ 21.08.2022): +- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 590K / month Β· πŸ“¦ 89 Β· ⏱️ 21.08.2022): ``` pip install yellowbrick ``` @@ -6384,7 +6388,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 7.4K / month Β· πŸ“¦ 7 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 7.7K / month Β· πŸ“¦ 7 Β· ⏱️ 30.01.2024): ``` pip install aequitas ``` @@ -6396,37 +6400,37 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 3.6K / month Β· πŸ“¦ 3 Β· ⏱️ 22.06.2023): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 3.3K / month Β· πŸ“¦ 3 Β· ⏱️ 22.06.2023): ``` pip install causalnex ```
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iNNvestigate (πŸ₯‰25 Β· ⭐ 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 +
checklist (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT -- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 98 Β· πŸ“¦ 120 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/marcotcr/checklist) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 200 Β· πŸ“¦ 340 Β· πŸ“‹ 120 - 29% open Β· ⏱️ 26.09.2023): ``` - git clone https://github.com/albermax/innvestigate + git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 3K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): ``` - pip install innvestigate + pip install checklist + ``` +- [Conda](https://anaconda.org/conda-forge/checklist) (πŸ“₯ 7K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge checklist ```
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checklist (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT +
iNNvestigate (πŸ₯‰24 Β· ⭐ 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 -- [GitHub](https://github.com/marcotcr/checklist) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 200 Β· πŸ“¦ 330 Β· πŸ“‹ 120 - 29% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 98 Β· πŸ“¦ 120 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 12.10.2023): ``` - git clone https://github.com/marcotcr/checklist - ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 3.6K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): - ``` - pip install checklist + git clone https://github.com/albermax/innvestigate ``` -- [Conda](https://anaconda.org/conda-forge/checklist) (πŸ“₯ 6.9K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 750 / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): ``` - conda install -c conda-forge checklist + pip install innvestigate ```
Explainability 360 (πŸ₯‰23 Β· ⭐ 1.5K) - Interpretability and explainability of data and.. Apache-2 @@ -6436,7 +6440,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 850 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 890 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` pip install aix360 ``` @@ -6460,11 +6464,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 330 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 390 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` pip install ecco ``` -- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 4.4K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 4.5K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge ecco ``` @@ -6488,7 +6492,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 4.6K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 5.6K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): ``` pip install witwidget ``` @@ -6508,7 +6512,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/model-card-toolkit ``` -- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.9K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install model-card-toolkit ``` @@ -6520,43 +6524,43 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 3.6K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 3.8K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): ``` pip install lofo-importance ```
fairness-indicators (πŸ₯‰19 Β· ⭐ 330) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 -- [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 78 Β· πŸ“‹ 30 - 70% open Β· ⏱️ 15.03.2024): +- [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 78 Β· πŸ“‹ 30 - 70% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.9K / month Β· ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.8K / month Β· ⏱️ 13.12.2022): ``` pip install fairness-indicators ```
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ExplainX.ai (πŸ₯‰16 Β· ⭐ 390) - Explainable AI framework for data scientists. Explain & debug any.. MIT +
ExplainX.ai (πŸ₯‰17 Β· ⭐ 390) - Explainable AI framework for data scientists. Explain & debug any.. MIT - [GitHub](https://github.com/explainX/explainx) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 53 Β· πŸ“₯ 16 Β· πŸ“‹ 39 - 25% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 1K / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 1.1K / month Β· ⏱️ 04.02.2021): ``` pip install explainx ```
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FlashTorch (πŸ₯‰15 Β· ⭐ 720 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT +
FlashTorch (πŸ₯‰16 Β· ⭐ 720 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 87 Β· πŸ“¦ 16 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 21.09.2023): ``` git clone https://github.com/MisaOgura/flashtorch ``` -- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 120 / month Β· ⏱️ 29.05.2020): +- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 260 / month Β· ⏱️ 29.05.2020): ``` pip install flashtorch ``` @@ -6568,7 +6572,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/interpret-text ``` -- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 93 / month Β· ⏱️ 07.12.2021): +- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 99 / month Β· ⏱️ 07.12.2021): ``` pip install interpret-text ``` @@ -6577,8 +6581,8 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - Lime (πŸ₯‡33 Β· ⭐ 11K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - scikit-plot (πŸ₯ˆ29 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT -- Alibi (πŸ₯ˆ29 Β· ⭐ 2.3K) - Algorithms for explaining machine learning models. ❗️Intel - Deep Checks (πŸ₯ˆ28 Β· ⭐ 3.3K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 +- Alibi (πŸ₯ˆ28 Β· ⭐ 2.3K Β· πŸ“‰) - Algorithms for explaining machine learning models. ❗️Intel - DALEX (πŸ₯ˆ27 Β· ⭐ 1.3K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - eli5 (πŸ₯‰26 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - keras-vis (πŸ₯‰25 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT @@ -6586,9 +6590,9 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - tf-explain (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - random-forest-importances (πŸ₯‰22 Β· ⭐ 580 Β· πŸ’€) - Code to compute permutation and drop-column.. MIT - Quantus (πŸ₯‰22 Β· ⭐ 500) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 -- deeplift (πŸ₯‰21 Β· ⭐ 790 Β· πŸ’€) - Public facing deeplift repo. MIT +- deeplift (πŸ₯‰21 Β· ⭐ 800 Β· πŸ’€) - Public facing deeplift repo. MIT - TreeInterpreter (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 -- tcav (πŸ₯‰19 Β· ⭐ 620 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 +- tcav (πŸ₯‰20 Β· ⭐ 620 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 - sklearn-evaluation (πŸ₯‰19 Β· ⭐ 430 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT - XAI (πŸ₯‰18 Β· ⭐ 1.1K Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT - Anchor (πŸ₯‰15 Β· ⭐ 780 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 @@ -6609,28 +6613,28 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Milvus (πŸ₯‡41 Β· ⭐ 27K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.6K Β· πŸ“₯ 210K Β· πŸ“‹ 11K - 6% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.6K Β· πŸ“₯ 210K Β· πŸ“‹ 11K - 6% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 620K / month Β· πŸ“¦ 89 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 590K / month Β· πŸ“¦ 89 Β· ⏱️ 20.03.2024): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 14M Β· ⭐ 43 Β· ⏱️ 18.04.2024): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 14M Β· ⭐ 43 Β· ⏱️ 25.04.2024): ``` docker pull milvusdb/milvus ```
Faiss (πŸ₯‡39 Β· ⭐ 28K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 3.4K Β· πŸ“¦ 3.6K Β· πŸ“‹ 2.4K - 18% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 3.4K Β· πŸ“¦ 3.6K Β· πŸ“‹ 2.4K - 19% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 620K / month Β· πŸ“¦ 89 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 590K / month Β· πŸ“¦ 89 Β· ⏱️ 20.03.2024): ``` pip install pymilvus ``` @@ -6650,7 +6654,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` pip install annoy ``` -- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 390K Β· ⏱️ 25.09.2023): +- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 400K Β· ⏱️ 25.09.2023): ``` conda install -c conda-forge python-annoy ``` @@ -6662,49 +6666,49 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 740K / month Β· πŸ“¦ 66 Β· ⏱️ 03.12.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 760K / month Β· πŸ“¦ 66 Β· ⏱️ 03.12.2023): ``` pip install hnswlib ``` -- [Conda](https://anaconda.org/conda-forge/hnswlib) (πŸ“₯ 140K Β· ⏱️ 27.09.2023): +- [Conda](https://anaconda.org/conda-forge/hnswlib) (πŸ“₯ 150K Β· ⏱️ 27.09.2023): ``` conda install -c conda-forge hnswlib ```
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PyNNDescent (πŸ₯‰29 Β· ⭐ 840) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 +
USearch (πŸ₯‰30 Β· ⭐ 1.6K Β· πŸ“ˆ) - Fast Open-Source Search & Clustering engine for Vectors &.. Apache-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 6.1K Β· πŸ“‹ 130 - 53% open Β· ⏱️ 29.03.2024): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 87 Β· πŸ“₯ 1.2K Β· πŸ“¦ 68 Β· πŸ“‹ 100 - 31% open Β· ⏱️ 15.04.2024): ``` - git clone https://github.com/lmcinnes/pynndescent + git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.1M / month Β· πŸ“¦ 80 Β· ⏱️ 29.03.2024): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 59K / month Β· πŸ“¦ 5 Β· ⏱️ 15.04.2024): ``` - pip install pynndescent + pip install usearch ``` -- [Conda](https://anaconda.org/conda-forge/pynndescent) (πŸ“₯ 1.8M Β· ⏱️ 29.03.2024): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 6.2K / month Β· πŸ“¦ 10 Β· ⏱️ 10.04.2024): ``` - conda install -c conda-forge pynndescent + npm install usearch + ``` +- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 75 Β· ⭐ 1 Β· ⏱️ 15.04.2024): + ``` + docker pull unum/usearch ```
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USearch (πŸ₯‰28 Β· ⭐ 1.6K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 +
PyNNDescent (πŸ₯‰29 Β· ⭐ 840) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 87 Β· πŸ“₯ 1.2K Β· πŸ“¦ 66 Β· πŸ“‹ 100 - 31% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 6.2K Β· πŸ“‹ 130 - 53% open Β· ⏱️ 29.03.2024): ``` - git clone https://github.com/unum-cloud/usearch - ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 50K / month Β· πŸ“¦ 5 Β· ⏱️ 15.04.2024): - ``` - pip install usearch + git clone https://github.com/lmcinnes/pynndescent ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 6.5K / month Β· πŸ“¦ 10 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.1M / month Β· πŸ“¦ 80 Β· ⏱️ 29.03.2024): ``` - npm install usearch + pip install pynndescent ``` -- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 75 Β· ⭐ 1 Β· ⏱️ 15.04.2024): +- [Conda](https://anaconda.org/conda-forge/pynndescent) (πŸ“₯ 1.8M Β· ⏱️ 29.03.2024): ``` - docker pull unum/usearch + conda install -c conda-forge pynndescent ```
NGT (πŸ₯‰22 Β· ⭐ 1.2K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 @@ -6714,7 +6718,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 5.4K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 5.9K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): ``` pip install ngt ``` @@ -6726,7 +6730,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 390 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 330 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): ``` pip install n2 ``` @@ -6734,8 +6738,8 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Show 4 hidden projects... - NMSLIB (πŸ₯ˆ31 Β· ⭐ 3.3K Β· πŸ’€) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 -- Magnitude (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT -- NearPy (πŸ₯‰21 Β· ⭐ 760 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT +- Magnitude (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT +- NearPy (πŸ₯‰20 Β· ⭐ 760 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT - PySparNN (πŸ₯‰11 Β· ⭐ 920 Β· πŸ’€) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3

@@ -6746,18 +6750,18 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit _Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics._ -
PyMC3 (πŸ₯‡41 Β· ⭐ 8.1K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 +
PyMC3 (πŸ₯‡41 Β· ⭐ 8.2K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.9K Β· πŸ“¦ 3.1K Β· πŸ“‹ 3.3K - 7% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.9K Β· πŸ“¦ 3.1K Β· πŸ“‹ 3.3K - 7% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 880K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 870K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): ``` pip install pymc3 ``` -- [Conda](https://anaconda.org/conda-forge/pymc3) (πŸ“₯ 550K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pymc3) (πŸ“₯ 560K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pymc3 ``` @@ -6769,7 +6773,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 3.1M / month Β· πŸ“¦ 470 Β· ⏱️ 12.03.2024): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 3.3M / month Β· πŸ“¦ 470 Β· ⏱️ 12.03.2024): ``` pip install tensorflow-probability ``` @@ -6778,9 +6782,9 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge tensorflow-probability ```
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Pyro (πŸ₯‡34 Β· ⭐ 8.3K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 +
Pyro (πŸ₯‡34 Β· ⭐ 8.4K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 990 Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 990 Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/pyro-ppl/pyro @@ -6794,21 +6798,21 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge pyro-ppl ```
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pgmpy (πŸ₯ˆ32 Β· ⭐ 2.6K Β· πŸ“‰) - Python Library for learning (Structure and Parameter), inference.. MIT +
pgmpy (πŸ₯ˆ32 Β· ⭐ 2.6K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 690 Β· πŸ“₯ 330 Β· πŸ“¦ 910 Β· πŸ“‹ 900 - 30% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 690 Β· πŸ“₯ 340 Β· πŸ“¦ 920 Β· πŸ“‹ 900 - 30% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 55K / month Β· πŸ“¦ 33 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 52K / month Β· πŸ“¦ 34 Β· ⏱️ 08.03.2024): ``` pip install pgmpy ```
GPyTorch (πŸ₯ˆ31 Β· ⭐ 3.4K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT -- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 540 Β· πŸ“¦ 2K Β· πŸ“‹ 1.3K - 26% open Β· ⏱️ 19.03.2024): +- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 540 Β· πŸ“¦ 2K Β· πŸ“‹ 1.3K - 26% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/cornellius-gp/gpytorch @@ -6824,39 +6828,39 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
hmmlearn (πŸ₯ˆ31 Β· ⭐ 2.9K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 -- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 730 Β· πŸ“¦ 2.4K Β· πŸ“‹ 430 - 14% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 730 Β· πŸ“¦ 2.5K Β· πŸ“‹ 430 - 14% open Β· ⏱️ 05.04.2024): ``` git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 200K / month Β· πŸ“¦ 150 Β· ⏱️ 02.03.2024): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 180K / month Β· πŸ“¦ 150 Β· ⏱️ 02.03.2024): ``` pip install hmmlearn ``` -- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 210K Β· ⏱️ 02.03.2024): +- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 220K Β· ⏱️ 02.03.2024): ``` conda install -c conda-forge hmmlearn ```
emcee (πŸ₯ˆ31 Β· ⭐ 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT -- [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 430 Β· πŸ“¦ 2.3K Β· πŸ“‹ 290 - 18% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 430 Β· πŸ“¦ 2.4K Β· πŸ“‹ 300 - 18% open Β· ⏱️ 19.04.2024): ``` git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 150K / month Β· πŸ“¦ 380 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 160K / month Β· πŸ“¦ 380 Β· ⏱️ 19.04.2024): ``` pip install emcee ``` -- [Conda](https://anaconda.org/conda-forge/emcee) (πŸ“₯ 330K Β· ⏱️ 17.04.2024): +- [Conda](https://anaconda.org/conda-forge/emcee) (πŸ“₯ 330K Β· ⏱️ 22.04.2024): ``` conda install -c conda-forge emcee ```
patsy (πŸ₯ˆ31 Β· ⭐ 920) - Describing statistical models in Python using symbolic formulas. BSD-2 -- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 110 Β· πŸ“¦ 93K Β· πŸ“‹ 150 - 47% open Β· ⏱️ 04.01.2024): +- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 110 Β· πŸ“¦ 94K Β· πŸ“‹ 150 - 47% open Β· ⏱️ 04.01.2024): ``` git clone https://github.com/pydata/patsy @@ -6872,21 +6876,21 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
SALib (πŸ₯ˆ31 Β· ⭐ 820) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT -- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 230 Β· πŸ“¦ 1.1K Β· πŸ“‹ 320 - 15% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 230 Β· πŸ“¦ 1.1K Β· πŸ“‹ 320 - 15% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 160K / month Β· πŸ“¦ 91 Β· ⏱️ 18.02.2024): +- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 160K / month Β· πŸ“¦ 92 Β· ⏱️ 22.04.2024): ``` pip install salib ``` -- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 150K Β· ⏱️ 18.02.2024): +- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 150K Β· ⏱️ 22.04.2024): ``` conda install -c conda-forge salib ```
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pomegranate (πŸ₯‰30 Β· ⭐ 3.2K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT +
pomegranate (πŸ₯‰30 Β· ⭐ 3.3K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT - [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 570 Β· πŸ“¦ 1.1K Β· πŸ“‹ 760 - 5% open Β· ⏱️ 11.03.2024): @@ -6913,14 +6917,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install gpflow ``` -- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 25K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 26K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge gpflow ```
PyStan (πŸ₯‰29 Β· ⭐ 310) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC -- [GitHub](https://github.com/stan-dev/pystan) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 57 Β· πŸ“¦ 9.7K Β· πŸ“‹ 200 - 6% open Β· ⏱️ 12.04.2024): +- [GitHub](https://github.com/stan-dev/pystan) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 57 Β· πŸ“¦ 9.8K Β· πŸ“‹ 200 - 6% open Β· ⏱️ 12.04.2024): ``` git clone https://github.com/stan-dev/pystan @@ -6941,41 +6945,41 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 19K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 21K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): ``` pip install orbit-ml ```
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bambi (πŸ₯‰26 Β· ⭐ 1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT +
scikit-posthocs (πŸ₯‰26 Β· ⭐ 320) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 390 - 17% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 39 Β· πŸ“₯ 45 Β· πŸ“¦ 670 Β· πŸ“‹ 54 - 11% open Β· ⏱️ 18.02.2024): ``` - git clone https://github.com/bambinos/bambi + git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 22K / month Β· πŸ“¦ 9 Β· ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 91K / month Β· πŸ“¦ 32 Β· ⏱️ 18.02.2024): ``` - pip install bambi + pip install scikit-posthocs ``` -- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 30K Β· ⏱️ 27.10.2023): +- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (πŸ“₯ 920K Β· ⏱️ 19.02.2024): ``` - conda install -c conda-forge bambi + conda install -c conda-forge scikit-posthocs ```
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scikit-posthocs (πŸ₯‰26 Β· ⭐ 320) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT +
bambi (πŸ₯‰25 Β· ⭐ 1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 39 Β· πŸ“₯ 45 Β· πŸ“¦ 660 Β· πŸ“‹ 54 - 11% open Β· ⏱️ 18.02.2024): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 390 - 17% open Β· ⏱️ 15.04.2024): ``` - git clone https://github.com/maximtrp/scikit-posthocs + git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 91K / month Β· πŸ“¦ 32 Β· ⏱️ 18.02.2024): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 22K / month Β· πŸ“¦ 9 Β· ⏱️ 25.10.2023): ``` - pip install scikit-posthocs + pip install bambi ``` -- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (πŸ“₯ 920K Β· ⏱️ 19.02.2024): +- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 30K Β· ⏱️ 27.10.2023): ``` - conda install -c conda-forge scikit-posthocs + conda install -c conda-forge bambi ```
Baal (πŸ₯‰22 Β· ⭐ 830) - Bayesian active learning library for research and industrial usecases. Apache-2 @@ -6989,7 +6993,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install baal ``` -- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 7.9K Β· ⏱️ 12.06.2023): +- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 8K Β· ⏱️ 12.06.2023): ``` conda install -c conda-forge baal ``` @@ -7012,9 +7016,9 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes _Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._ -
ART (πŸ₯‡34 Β· ⭐ 4.4K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT +
ART (πŸ₯‡34 Β· ⭐ 4.5K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.1K Β· πŸ“¦ 510 Β· πŸ“‹ 900 - 16% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.1K Β· πŸ“¦ 510 Β· πŸ“‹ 900 - 16% open Β· ⏱️ 20.04.2024): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox @@ -7023,19 +7027,19 @@ _Libraries for testing the robustness of machine learning models against attacks ``` pip install adversarial-robustness-toolbox ``` -- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 37K Β· ⏱️ 18.02.2024): +- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 38K Β· ⏱️ 18.02.2024): ``` conda install -c conda-forge adversarial-robustness-toolbox ```
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TextAttack (πŸ₯ˆ30 Β· ⭐ 2.7K) - TextAttack is a Python framework for adversarial attacks, data.. MIT +
TextAttack (πŸ₯ˆ30 Β· ⭐ 2.8K) - TextAttack is a Python framework for adversarial attacks, data.. MIT - [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 370 Β· πŸ“¦ 240 Β· πŸ“‹ 270 - 18% open Β· ⏱️ 31.03.2024): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 7.1K / month Β· πŸ“¦ 6 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 6.7K / month Β· πŸ“¦ 6 Β· ⏱️ 11.03.2024): ``` pip install textattack ``` @@ -7046,12 +7050,12 @@ _Libraries for testing the robustness of machine learning models against attacks
Foolbox (πŸ₯ˆ30 Β· ⭐ 2.7K) - A Python toolbox to create adversarial examples that fool neural networks.. MIT -- [GitHub](https://github.com/bethgelab/foolbox) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 420 Β· πŸ“¦ 570 Β· πŸ“‹ 370 - 5% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/bethgelab/foolbox) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 420 Β· πŸ“¦ 580 Β· πŸ“‹ 370 - 5% open Β· ⏱️ 04.03.2024): ``` git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 2.8K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 2.6K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): ``` pip install foolbox ``` @@ -7079,32 +7083,32 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
CuPy (πŸ₯‡38 Β· ⭐ 7.8K) - NumPy & SciPy for GPU. MIT -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 750 Β· πŸ“₯ 170K Β· πŸ“¦ 2K Β· πŸ“‹ 2.2K - 24% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 760 Β· πŸ“₯ 170K Β· πŸ“¦ 2K Β· πŸ“‹ 2.2K - 25% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 24K / month Β· πŸ“¦ 220 Β· ⏱️ 07.12.2023): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 24K / month Β· πŸ“¦ 220 Β· ⏱️ 19.04.2024): ``` pip install cupy ``` -- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 3.4M Β· ⏱️ 05.02.2024): +- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 3.4M Β· ⏱️ 22.04.2024): ``` conda install -c conda-forge cupy ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 61K Β· ⭐ 11 Β· ⏱️ 18.01.2024): +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 62K Β· ⭐ 11 Β· ⏱️ 19.04.2024): ``` docker pull cupy/cupy ```
optimum (πŸ₯‡34 Β· ⭐ 2.1K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 360 Β· πŸ“¦ 2.1K Β· πŸ“‹ 720 - 45% open Β· ⏱️ 16.04.2024): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 370 Β· πŸ“¦ 2.2K Β· πŸ“‹ 730 - 45% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 950K / month Β· πŸ“¦ 80 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 1M / month Β· πŸ“¦ 81 Β· ⏱️ 24.04.2024): ``` pip install optimum ``` @@ -7115,19 +7119,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuDF (πŸ₯ˆ33 Β· ⭐ 7.3K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 830 Β· πŸ“¦ 53 Β· πŸ“‹ 6.2K - 17% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 830 Β· πŸ“¦ 53 Β· πŸ“‹ 6.2K - 17% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/rapidsai/cudf ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3K / month Β· πŸ“¦ 11 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 2.9K / month Β· πŸ“¦ 11 Β· ⏱️ 01.06.2020): ``` pip install cudf ```
cuML (πŸ₯ˆ30 Β· ⭐ 3.9K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 500 Β· πŸ“‹ 2.4K - 36% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 500 Β· πŸ“‹ 2.5K - 35% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/rapidsai/cuml @@ -7139,7 +7143,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Apex (πŸ₯ˆ29 Β· ⭐ 8K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.4K Β· πŸ“‹ 1.2K - 57% open Β· ⏱️ 12.03.2024): +- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.4K Β· πŸ“‹ 1.2K - 57% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/NVIDIA/apex @@ -7156,7 +7160,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 930K / month Β· πŸ“¦ 140 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 920K / month Β· πŸ“¦ 140 Β· ⏱️ 22.08.2023): ``` pip install gpustat ``` @@ -7172,23 +7176,23 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 43K / month Β· πŸ“¦ 220 Β· ⏱️ 03.01.2024): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 44K / month Β· πŸ“¦ 220 Β· ⏱️ 03.01.2024): ``` pip install pycuda ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 290K Β· ⏱️ 06.01.2024): +- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 300K Β· ⏱️ 06.01.2024): ``` conda install -c conda-forge pycuda ```
cuGraph (πŸ₯ˆ27 Β· ⭐ 1.6K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 2 Β· πŸ“‹ 1.7K - 18% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 2 Β· πŸ“‹ 1.7K - 18% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 250 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 260 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2020): ``` pip install cugraph ``` @@ -7199,56 +7203,56 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
ArrayFire (πŸ₯‰26 Β· ⭐ 4.4K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 520 Β· πŸ“₯ 5.9K Β· πŸ“‹ 1.6K - 18% open Β· ⏱️ 04.04.2024): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 530 Β· πŸ“₯ 5.9K Β· πŸ“‹ 1.7K - 20% open Β· ⏱️ 04.04.2024): ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 1.5K / month Β· πŸ“¦ 9 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 1.7K / month Β· πŸ“¦ 9 Β· ⏱️ 22.02.2022): ``` pip install arrayfire ```
DALI (πŸ₯‰25 Β· ⭐ 4.9K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 600 Β· πŸ“‹ 1.6K - 13% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 600 Β· πŸ“‹ 1.6K - 13% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/NVIDIA/DALI ```
-
Vulkan Kompute (πŸ₯‰24 Β· ⭐ 1.5K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 +
scikit-cuda (πŸ₯‰24 Β· ⭐ 970) - Python interface to GPU-powered libraries. BSD-3 -- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 110 Β· πŸ“₯ 500 Β· πŸ“‹ 210 - 33% open Β· ⏱️ 25.02.2024): +- [GitHub](https://github.com/lebedov/scikit-cuda) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 180 Β· πŸ“¦ 290 Β· πŸ“‹ 220 - 23% open Β· ⏱️ 15.10.2023): ``` - git clone https://github.com/KomputeProject/kompute + git clone https://github.com/lebedov/scikit-cuda ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 180 / month Β· ⏱️ 20.01.2024): +- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 770 / month Β· πŸ“¦ 50 Β· ⏱️ 27.05.2019): ``` - pip install kp + pip install scikit-cuda ```
-
scikit-cuda (πŸ₯‰24 Β· ⭐ 970) - Python interface to GPU-powered libraries. BSD-3 +
Vulkan Kompute (πŸ₯‰23 Β· ⭐ 1.5K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 -- [GitHub](https://github.com/lebedov/scikit-cuda) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 180 Β· πŸ“¦ 290 Β· πŸ“‹ 220 - 23% open Β· ⏱️ 15.10.2023): +- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 120 Β· πŸ“₯ 500 Β· πŸ“‹ 210 - 33% open Β· ⏱️ 25.02.2024): ``` - git clone https://github.com/lebedov/scikit-cuda + git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 730 / month Β· πŸ“¦ 50 Β· ⏱️ 27.05.2019): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 210 / month Β· ⏱️ 20.01.2024): ``` - pip install scikit-cuda + pip install kp ```
-
Merlin (πŸ₯‰21 Β· ⭐ 680) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 +
Merlin (πŸ₯‰20 Β· ⭐ 690) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 -- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 110 Β· πŸ“‹ 450 - 45% open Β· ⏱️ 15.01.2024): +- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 110 Β· πŸ“‹ 450 - 45% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 3K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 3.5K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` pip install merlin-core ``` @@ -7268,7 +7272,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c - BlazingSQL (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - nvidia-ml-py3 (πŸ₯‰18 Β· ⭐ 130 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - ipyexperiments (πŸ₯‰16 Β· ⭐ 190) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2 -- SpeedTorch (πŸ₯‰14 Β· ⭐ 680 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT +- SpeedTorch (πŸ₯‰15 Β· ⭐ 680 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT

@@ -7278,14 +7282,14 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c _Libraries that extend TensorFlow with additional capabilities._ -
TensorFlow Datasets (πŸ₯‡39 Β· ⭐ 4.2K) - TFDS is a collection of datasets ready to use with.. Apache-2 +
TensorFlow Datasets (πŸ₯‡40 Β· ⭐ 4.2K Β· πŸ“ˆ) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.5K Β· πŸ“¦ 17K Β· πŸ“‹ 1.4K - 48% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.5K Β· πŸ“¦ 17K Β· πŸ“‹ 1.4K - 48% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/tensorflow/datasets ``` -- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 3.2M / month Β· πŸ“¦ 230 Β· ⏱️ 18.12.2023): +- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 3.4M / month Β· πŸ“¦ 230 Β· ⏱️ 18.12.2023): ``` pip install tensorflow-datasets ``` @@ -7301,7 +7305,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 3.6M / month Β· πŸ“¦ 340 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 3.8M / month Β· πŸ“¦ 340 Β· ⏱️ 30.01.2024): ``` pip install tensorflow-hub ``` @@ -7310,7 +7314,7 @@ _Libraries that extend TensorFlow with additional capabilities._ conda install -c conda-forge tensorflow-hub ```
-
TF Addons (πŸ₯ˆ34 Β· ⭐ 1.7K Β· πŸ“‰) - Useful extra functionality for TensorFlow 2.x maintained.. Apache-2 +
TF Addons (πŸ₯ˆ34 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 - [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 610 Β· πŸ“¦ 14K Β· πŸ“‹ 980 - 8% open Β· ⏱️ 15.04.2024): @@ -7329,7 +7333,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 920K / month Β· πŸ“¦ 30 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 890K / month Β· πŸ“¦ 30 Β· ⏱️ 08.02.2024): ``` pip install tensorflow-model-optimization ``` @@ -7341,43 +7345,43 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/tensor2tensor ``` -- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 4.9K / month Β· πŸ“¦ 90 Β· ⏱️ 17.06.2020): +- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 5.3K / month Β· πŸ“¦ 90 Β· ⏱️ 17.06.2020): ``` pip install tensor2tensor ```
-
TensorFlow Transform (πŸ₯ˆ31 Β· ⭐ 980) - Input pipeline framework. Apache-2 +
TensorFlow Transform (πŸ₯ˆ32 Β· ⭐ 980) - Input pipeline framework. Apache-2 -- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 210 Β· πŸ“¦ 1.7K Β· πŸ“‹ 220 - 20% open Β· ⏱️ 12.03.2024): +- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 210 Β· πŸ“¦ 1.7K Β· πŸ“‹ 220 - 20% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 870K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 850K / month Β· πŸ“¦ 56 Β· ⏱️ 24.04.2024): ``` pip install tensorflow-transform ```
TFX (πŸ₯ˆ30 Β· ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 700 Β· πŸ“‹ 1.1K - 19% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 700 Β· πŸ“‹ 1.1K - 19% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 53K / month Β· πŸ“¦ 14 Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 54K / month Β· πŸ“¦ 14 Β· ⏱️ 06.09.2023): ``` pip install tfx ```
TensorFlow I/O (πŸ₯ˆ30 Β· ⭐ 690) - Dataset, streaming, and file system extensions.. Apache-2 -- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“‹ 630 - 42% open Β· ⏱️ 11.04.2024): +- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“‹ 630 - 42% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 2.9M / month Β· πŸ“¦ 36 Β· ⏱️ 06.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 3.1M / month Β· πŸ“¦ 36 Β· ⏱️ 06.02.2024): ``` pip install tensorflow-io ``` @@ -7389,19 +7393,19 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/neural-structured-learning ``` -- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 24K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): +- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 21K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): ``` pip install neural-structured-learning ```
TensorFlow Cloud (πŸ₯‰24 Β· ⭐ 370) - The TensorFlow Cloud repository provides APIs that.. Apache-2 -- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 85 Β· πŸ“¦ 370 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 25.02.2024): +- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 84 Β· πŸ“¦ 380 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 25.02.2024): ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 43K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 47K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ``` @@ -7413,19 +7417,19 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 13K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 15K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): ``` pip install tensorflow-compression ```
Saliency (πŸ₯‰22 Β· ⭐ 930) - Framework-agnostic implementation for state-of-the-art saliency.. Apache-2 -- [GitHub](https://github.com/PAIR-code/saliency) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 190 Β· πŸ“¦ 80 Β· πŸ“‹ 39 - 30% open Β· ⏱️ 20.03.2024): +- [GitHub](https://github.com/PAIR-code/saliency) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 190 Β· πŸ“¦ 81 Β· πŸ“‹ 39 - 30% open Β· ⏱️ 20.03.2024): ``` git clone https://github.com/PAIR-code/saliency ``` -- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 4.6K / month Β· πŸ“¦ 6 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 4.9K / month Β· πŸ“¦ 6 Β· ⏱️ 20.03.2024): ``` pip install saliency ``` @@ -7445,14 +7449,14 @@ _Libraries that extend TensorFlow with additional capabilities._ _Libraries that extend Jax with additional capabilities._ -
equinox (πŸ₯‡30 Β· ⭐ 1.8K Β· πŸ“ˆ) - Elegant easy-to-use neural networks + scientific computing.. Apache-2 +
equinox (πŸ₯‡30 Β· ⭐ 1.8K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 120 Β· πŸ“¦ 500 Β· πŸ“‹ 340 - 33% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 120 Β· πŸ“¦ 510 Β· πŸ“‹ 350 - 33% open Β· ⏱️ 20.04.2024): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 180K / month Β· πŸ“¦ 74 Β· ⏱️ 14.04.2024): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 190K / month Β· πŸ“¦ 77 Β· ⏱️ 14.04.2024): ``` pip install equinox ``` @@ -7464,7 +7468,7 @@ _Libraries that extend Jax with additional capabilities._ ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 620 / month Β· πŸ“¦ 2 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 670 / month Β· πŸ“¦ 2 Β· ⏱️ 29.08.2023): ``` pip install evojax ``` @@ -7485,7 +7489,7 @@ _Libraries that extend Jax with additional capabilities._ _Libraries that extend scikit-learn with additional capabilities._ -
imbalanced-learn (πŸ₯‡37 Β· ⭐ 6.7K) - A Python Package to Tackle the Curse of Imbalanced.. MIT +
imbalanced-learn (πŸ₯‡36 Β· ⭐ 6.7K Β· πŸ“‰) - A Python Package to Tackle the Curse of Imbalanced.. MIT - [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 1.3K Β· πŸ“¦ 26K Β· πŸ“‹ 590 - 6% open Β· ⏱️ 01.04.2024): @@ -7503,16 +7507,16 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (πŸ₯‡35 Β· ⭐ 1.2K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 170 Β· πŸ“¦ 10K Β· πŸ“‹ 250 - 28% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 170 Β· πŸ“¦ 10K Β· πŸ“‹ 250 - 28% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 150K / month Β· πŸ“¦ 27 Β· ⏱️ 11.04.2024): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 140K / month Β· πŸ“¦ 27 Β· ⏱️ 11.04.2024): ``` pip install scikit-learn-intelex ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 250K Β· ⏱️ 16.04.2024): +- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 250K Β· ⏱️ 19.04.2024): ``` conda install -c conda-forge scikit-learn-intelex ``` @@ -7524,7 +7528,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 810K / month Β· πŸ“¦ 190 Β· ⏱️ 05.01.2024): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 720K / month Β· πŸ“¦ 190 Β· ⏱️ 05.01.2024): ``` pip install mlxtend ``` @@ -7549,9 +7553,9 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge category_encoders ```
-
scikit-lego (πŸ₯ˆ28 Β· ⭐ 1.1K) - Extra blocks for scikit-learn pipelines. MIT +
scikit-lego (πŸ₯ˆ28 Β· ⭐ 1.2K) - Extra blocks for scikit-learn pipelines. MIT -- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 110 Β· πŸ“¦ 140 Β· πŸ“‹ 300 - 10% open Β· ⏱️ 10.04.2024): +- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 110 Β· πŸ“¦ 140 Β· πŸ“‹ 300 - 10% open Β· ⏱️ 20.04.2024): ``` git clone https://github.com/koaning/scikit-lego @@ -7567,12 +7571,12 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-multilearn (πŸ₯ˆ28 Β· ⭐ 900 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 -- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“¦ 1.5K Β· πŸ“‹ 210 - 41% open Β· ⏱️ 19.04.2023): +- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“¦ 1.6K Β· πŸ“‹ 210 - 41% open Β· ⏱️ 19.04.2023): ``` git clone https://github.com/scikit-multilearn/scikit-multilearn ``` -- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 89K / month Β· πŸ“¦ 25 Β· ⏱️ 10.12.2018): +- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 94K / month Β· πŸ“¦ 25 Β· ⏱️ 10.12.2018): ``` pip install scikit-multilearn ``` @@ -7584,7 +7588,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 3.3K / month Β· πŸ“¦ 9 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 3.5K / month Β· πŸ“¦ 9 Β· ⏱️ 14.01.2022): ``` pip install scikit-opt ``` @@ -7596,7 +7600,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 2K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1.8K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): ``` pip install deslib ``` @@ -7608,7 +7612,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-tda/scikit-tda ``` -- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 3K / month Β· ⏱️ 03.08.2021): +- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 3.2K / month Β· ⏱️ 03.08.2021): ``` pip install scikit-tda ``` @@ -7619,7 +7623,7 @@ _Libraries that extend scikit-learn with additional capabilities._ - fancyimpute (πŸ₯ˆ26 Β· ⭐ 1.2K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 - sklearn-crfsuite (πŸ₯ˆ26 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT - sklearn-contrib-lightning (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 -- iterative-stratification (πŸ₯‰21 Β· ⭐ 820 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 +- iterative-stratification (πŸ₯‰21 Β· ⭐ 830 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 - combo (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost - skope-rules (πŸ₯‰21 Β· ⭐ 590 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause - skggm (πŸ₯‰18 Β· ⭐ 240 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT @@ -7634,14 +7638,14 @@ _Libraries that extend scikit-learn with additional capabilities._ _Libraries that extend Pytorch with additional capabilities._ -
accelerate (πŸ₯‡40 Β· ⭐ 6.9K) - A simple way to launch, train, and use PyTorch models on.. Apache-2 +
accelerate (πŸ₯‡40 Β· ⭐ 7K) - A simple way to launch, train, and use PyTorch models on.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 790 Β· πŸ“¦ 33K Β· πŸ“‹ 1.4K - 9% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 790 Β· πŸ“¦ 34K Β· πŸ“‹ 1.4K - 9% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 7.7M / month Β· πŸ“¦ 680 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 8M / month Β· πŸ“¦ 680 Β· ⏱️ 17.04.2024): ``` pip install accelerate ``` @@ -7652,7 +7656,7 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (πŸ₯‡32 Β· ⭐ 24K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 2.6K Β· πŸ“¦ 61 Β· πŸ“‹ 580 - 16% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 2.6K Β· πŸ“¦ 62 Β· πŸ“‹ 580 - 15% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/geohot/tinygrad @@ -7665,7 +7669,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 340K / month Β· πŸ“¦ 33 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 320K / month Β· πŸ“¦ 33 Β· ⏱️ 01.04.2024): ``` pip install pytorch-metric-learning ``` @@ -7681,7 +7685,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 820K / month Β· πŸ“¦ 47 Β· ⏱️ 22.04.2022): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 800K / month Β· πŸ“¦ 47 Β· ⏱️ 22.04.2022): ``` pip install torchdiffeq ``` @@ -7697,7 +7701,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 140K / month Β· πŸ“¦ 46 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 130K / month Β· πŸ“¦ 46 Β· ⏱️ 31.10.2021): ``` pip install torch_optimizer ``` @@ -7708,12 +7712,12 @@ _Libraries that extend Pytorch with additional capabilities._
torchsde (πŸ₯ˆ28 Β· ⭐ 1.5K Β· πŸ’€) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 180 Β· πŸ“¦ 2.8K Β· πŸ“‹ 72 - 27% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 180 Β· πŸ“¦ 2.9K Β· πŸ“‹ 72 - 27% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/google-research/torchsde ``` -- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.5M / month Β· πŸ“¦ 15 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1.4M / month Β· πŸ“¦ 15 Β· ⏱️ 26.09.2023): ``` pip install torchsde ``` @@ -7729,7 +7733,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/Lightning-AI/lightning-flash ``` -- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 1.9K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 2.6K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2022): ``` pip install lightning-flash ``` @@ -7745,34 +7749,34 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/dreamquark-ai/tabnet ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 39K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 37K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): ``` pip install pytorch-tabnet ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 6.3K Β· ⏱️ 20.12.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 6.4K Β· ⏱️ 20.12.2023): ``` conda install -c conda-forge pytorch-tabnet ```
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torch-scatter (πŸ₯ˆ26 Β· ⭐ 1.5K) - PyTorch Extension Library of Optimized Scatter Operations. MIT +
torch-scatter (πŸ₯ˆ25 Β· ⭐ 1.5K) - PyTorch Extension Library of Optimized Scatter Operations. MIT - [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 170 Β· πŸ“‹ 370 - 8% open Β· ⏱️ 15.04.2024): ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 43K / month Β· πŸ“¦ 84 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 42K / month Β· πŸ“¦ 84 Β· ⏱️ 06.10.2023): ``` pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 250K Β· ⏱️ 12.01.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 260K Β· ⏱️ 12.01.2024): ``` conda install -c conda-forge pytorch_scatter ```
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PyTorch Sparse (πŸ₯‰24 Β· ⭐ 950) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT +
PyTorch Sparse (πŸ₯‰24 Β· ⭐ 960) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 140 Β· πŸ“‹ 270 - 10% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 140 Β· πŸ“‹ 270 - 11% open Β· ⏱️ 15.04.2024): ``` git clone https://github.com/rusty1s/pytorch_sparse @@ -7793,19 +7797,19 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 6.9K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 7.4K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): ``` pip install pytorch_toolbelt ```
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reformer-pytorch (πŸ₯‰20 Β· ⭐ 2K Β· πŸ’€) - Reformer, the efficient Transformer, in Pytorch. MIT +
reformer-pytorch (πŸ₯‰20 Β· ⭐ 2.1K Β· πŸ’€) - Reformer, the efficient Transformer, in Pytorch. MIT - [GitHub](https://github.com/lucidrains/reformer-pytorch) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 250 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 21.06.2023): ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 7.3K / month Β· ⏱️ 06.11.2021): +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 7.6K / month Β· ⏱️ 06.11.2021): ``` pip install reformer-pytorch ``` @@ -7817,7 +7821,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3.8K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): +- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 4.2K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): ``` pip install madgrad ``` @@ -7825,20 +7829,20 @@ _Libraries that extend Pytorch with additional capabilities._
Show 19 hidden projects... - pretrainedmodels (πŸ₯‡29 Β· ⭐ 8.9K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 -- pytorch-summary (πŸ₯ˆ28 Β· ⭐ 3.9K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()`.. MIT +- pytorch-summary (πŸ₯ˆ28 Β· ⭐ 4K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()` in.. MIT - EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.7K Β· πŸ’€) - A PyTorch implementation of EfficientNet. Apache-2 - EfficientNets (πŸ₯ˆ25 Β· ⭐ 1.6K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - Higher (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 - SRU (πŸ₯‰23 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - Torchmeta (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT - Antialiased CNNs (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 -- micrograd (πŸ₯‰21 Β· ⭐ 8.2K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - AdaBound (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 +- micrograd (πŸ₯‰20 Β· ⭐ 8.3K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - pytorchviz (πŸ₯‰20 Β· ⭐ 3K Β· πŸ’€) - A small package to create visualizations of PyTorch execution graphs. MIT - Lambda Networks (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT +- Torch-Struct (πŸ₯‰19 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT - Performer Pytorch (πŸ₯‰19 Β· ⭐ 1.1K Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT - Poutyne (πŸ₯‰19 Β· ⭐ 560 Β· πŸ’€) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 -- Torch-Struct (πŸ₯‰18 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT - Tez (πŸ₯‰17 Β· ⭐ 1.2K Β· πŸ’€) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - Tensor Sensor (πŸ₯‰17 Β· ⭐ 750 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT - Pywick (πŸ₯‰16 Β· ⭐ 400 Β· πŸ’€) - High-level batteries-included neural network training library for.. MIT @@ -7862,7 +7866,7 @@ _Libraries for connecting to, operating, and querying databases._
scipy (πŸ₯‡50 Β· ⭐ 12K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 5K Β· πŸ“₯ 400K Β· πŸ“¦ 970K Β· πŸ“‹ 10K - 17% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 5K Β· πŸ“₯ 400K Β· πŸ“¦ 980K Β· πŸ“‹ 10K - 17% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/scipy/scipy @@ -7878,12 +7882,12 @@ _Libraries for connecting to, operating, and querying databases._
SymPy (πŸ₯‡48 Β· ⭐ 12K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.2K Β· πŸ“₯ 540K Β· πŸ“¦ 130K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.3K Β· πŸ“₯ 540K Β· πŸ“¦ 130K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 27M / month Β· πŸ“¦ 5K Β· ⏱️ 31.03.2024): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 27M / month Β· πŸ“¦ 5.1K Β· ⏱️ 31.03.2024): ``` pip install sympy ``` @@ -7892,50 +7896,50 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge sympy ```
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Streamlit (πŸ₯‡46 Β· ⭐ 31K) - Streamlit A faster way to build and share data apps. Apache-2 +
Streamlit (πŸ₯‡46 Β· ⭐ 32K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.8K Β· πŸ“¦ 360K Β· πŸ“‹ 4.1K - 19% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 2.8K Β· πŸ“¦ 360K Β· πŸ“‹ 4.1K - 19% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 3.9M / month Β· πŸ“¦ 1.5K Β· ⏱️ 04.04.2024): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 3.9M / month Β· πŸ“¦ 1.6K Β· ⏱️ 04.04.2024): ``` pip install streamlit ```
Gradio (πŸ₯‡44 Β· ⭐ 29K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.1K Β· πŸ“¦ 28K Β· πŸ“‹ 4.1K - 12% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 2.1K Β· πŸ“¦ 28K Β· πŸ“‹ 4.1K - 12% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 5.7M / month Β· πŸ“¦ 370 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 5.9M / month Β· πŸ“¦ 370 Β· ⏱️ 18.04.2024): ``` pip install gradio ```
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carla (πŸ₯‡37 Β· ⭐ 10K) - Open-source simulator for autonomous driving research. MIT +
carla (πŸ₯‡37 Β· ⭐ 11K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 3.4K Β· πŸ“¦ 680 Β· πŸ“‹ 5K - 22% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 3.4K Β· πŸ“¦ 690 Β· πŸ“‹ 5.1K - 22% open Β· ⏱️ 19.04.2024): ``` git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 14K / month Β· πŸ“¦ 7 Β· ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 13K / month Β· πŸ“¦ 7 Β· ⏱️ 14.11.2023): ``` pip install carla ```
DeepChem (πŸ₯‡37 Β· ⭐ 5.1K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“¦ 340 Β· πŸ“‹ 1.8K - 32% open Β· ⏱️ 14.04.2024): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“¦ 350 Β· πŸ“‹ 1.8K - 31% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 23K / month Β· πŸ“¦ 13 Β· ⏱️ 14.04.2024): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 26K / month Β· πŸ“¦ 13 Β· ⏱️ 24.04.2024): ``` pip install deepchem ``` @@ -7944,30 +7948,30 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge deepchem ```
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PennyLane (πŸ₯‡36 Β· ⭐ 2.1K Β· πŸ“ˆ) - PennyLane is a cross-platform Python library for.. Apache-2 +
PennyLane (πŸ₯‡36 Β· ⭐ 2.1K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 530 Β· πŸ“₯ 77 Β· πŸ“¦ 840 Β· πŸ“‹ 1.2K - 23% open Β· ⏱️ 18.04.2024): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 530 Β· πŸ“₯ 77 Β· πŸ“¦ 850 Β· πŸ“‹ 1.2K - 23% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 60K / month Β· πŸ“¦ 72 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 61K / month Β· πŸ“¦ 75 Β· ⏱️ 11.03.2024): ``` pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 39K Β· ⏱️ 19.03.2024): +- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 41K Β· ⏱️ 19.03.2024): ``` conda install -c conda-forge pennylane ```
Datasette (πŸ₯ˆ35 Β· ⭐ 8.9K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 620 Β· πŸ“₯ 64 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.8K - 31% open Β· ⏱️ 12.04.2024): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 620 Β· πŸ“₯ 64 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.8K - 31% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 46K / month Β· πŸ“¦ 230 Β· ⏱️ 13.03.2024): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 45K / month Β· πŸ“¦ 230 Β· ⏱️ 13.03.2024): ``` pip install datasette ``` @@ -7983,23 +7987,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.3M / month Β· πŸ“¦ 330 Β· ⏱️ 23.06.2023): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.4M / month Β· πŸ“¦ 330 Β· ⏱️ 23.06.2023): ``` pip install autograd ``` -- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 410K Β· ⏱️ 26.06.2023): +- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 420K Β· ⏱️ 26.06.2023): ``` conda install -c conda-forge autograd ```
agate (πŸ₯ˆ34 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 150 Β· πŸ“¦ 3K Β· πŸ“‹ 650 - 1% open Β· ⏱️ 23.02.2024): +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 150 Β· πŸ“¦ 3.1K Β· πŸ“‹ 650 - 1% open Β· ⏱️ 23.02.2024): ``` git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 6.1M / month Β· πŸ“¦ 150 Β· ⏱️ 21.12.2023): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 6.2M / month Β· πŸ“¦ 150 Β· ⏱️ 21.12.2023): ``` pip install agate ``` @@ -8015,39 +8019,39 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 720K / month Β· πŸ“¦ 65 Β· ⏱️ 09.02.2024): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 740K / month Β· πŸ“¦ 65 Β· ⏱️ 09.02.2024): ``` pip install pyod ``` -- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 94K Β· ⏱️ 09.02.2024): +- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 95K Β· ⏱️ 09.02.2024): ``` conda install -c conda-forge pyod ```
Pythran (πŸ₯ˆ33 Β· ⭐ 2K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 2K Β· πŸ“‹ 850 - 15% open Β· ⏱️ 10.04.2024): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 2.1K Β· πŸ“‹ 850 - 15% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 220K / month Β· πŸ“¦ 23 Β· ⏱️ 07.01.2024): +- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 210K / month Β· πŸ“¦ 23 Β· ⏱️ 07.01.2024): ``` pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 460K Β· ⏱️ 08.01.2024): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 470K Β· ⏱️ 08.01.2024): ``` conda install -c conda-forge pythran ```
River (πŸ₯ˆ31 Β· ⭐ 4.8K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 550 Β· πŸ“¦ 460 Β· πŸ“‹ 580 - 17% open Β· ⏱️ 15.04.2024): +- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 520 Β· πŸ“¦ 470 Β· πŸ“‹ 580 - 18% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 33K / month Β· πŸ“¦ 32 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 35K / month Β· πŸ“¦ 36 Β· ⏱️ 23.04.2024): ``` pip install river ``` @@ -8056,26 +8060,26 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge river ```
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causalml (πŸ₯ˆ31 Β· ⭐ 4.7K) - Uplift modeling and causal inference with machine learning.. Apache-2 +
causalml (πŸ₯ˆ31 Β· ⭐ 4.8K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 730 Β· πŸ“¦ 190 Β· πŸ“‹ 380 - 14% open Β· ⏱️ 13.04.2024): +- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 740 Β· πŸ“¦ 190 Β· πŸ“‹ 380 - 13% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 93K / month Β· πŸ“¦ 1 Β· ⏱️ 22.02.2024): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 95K / month Β· πŸ“¦ 1 Β· ⏱️ 19.04.2024): ``` pip install causalml ```
hdbscan (πŸ₯ˆ31 Β· ⭐ 2.7K) - A high performance implementation of HDBSCAN clustering. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 480 Β· πŸ“¦ 3.3K Β· πŸ“‹ 510 - 67% open Β· ⏱️ 20.11.2023): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 480 Β· πŸ“¦ 3.4K Β· πŸ“‹ 510 - 67% open Β· ⏱️ 20.11.2023): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 440K / month Β· πŸ“¦ 240 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 460K / month Β· πŸ“¦ 250 Β· ⏱️ 20.11.2023): ``` pip install hdbscan ``` @@ -8086,12 +8090,12 @@ _Libraries for connecting to, operating, and querying databases._
pyjanitor (πŸ₯ˆ31 Β· ⭐ 1.3K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 580 Β· πŸ“‹ 560 - 20% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 590 Β· πŸ“‹ 560 - 20% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 72K / month Β· πŸ“¦ 20 Β· ⏱️ 21.03.2024): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 73K / month Β· πŸ“¦ 20 Β· ⏱️ 21.03.2024): ``` pip install pyjanitor ``` @@ -8102,12 +8106,12 @@ _Libraries for connecting to, operating, and querying databases._
pyopencl (πŸ₯ˆ31 Β· ⭐ 1K) - OpenCL integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 240 Β· πŸ“¦ 1.8K Β· πŸ“‹ 340 - 20% open Β· ⏱️ 10.04.2024): +- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 240 Β· πŸ“¦ 1.9K Β· πŸ“‹ 340 - 20% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 51K / month Β· πŸ“¦ 220 Β· ⏱️ 23.01.2024): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 50K / month Β· πŸ“¦ 220 Β· ⏱️ 23.01.2024): ``` pip install pyopencl ``` @@ -8118,35 +8122,35 @@ _Libraries for connecting to, operating, and querying databases._
datalad (πŸ₯ˆ31 Β· ⭐ 490) - Keep code, data, containers under control with git and git-annex. MIT -- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 110 Β· πŸ“¦ 390 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 110 Β· πŸ“¦ 390 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 18K / month Β· πŸ“¦ 68 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 17K / month Β· πŸ“¦ 68 Β· ⏱️ 19.04.2024): ``` pip install datalad ``` -- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 430K Β· ⏱️ 17.04.2024): +- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 440K Β· ⏱️ 20.04.2024): ``` conda install -c conda-forge datalad ```
anomalib (πŸ₯ˆ30 Β· ⭐ 3.1K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 570 Β· πŸ“₯ 8.8K Β· πŸ“¦ 60 Β· πŸ“‹ 810 - 15% open Β· ⏱️ 12.04.2024): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 570 Β· πŸ“₯ 9.1K Β· πŸ“¦ 61 Β· πŸ“‹ 820 - 14% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/openvinotoolkit/anomalib ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 10K / month Β· πŸ“¦ 3 Β· ⏱️ 27.03.2024): +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 13K / month Β· πŸ“¦ 3 Β· ⏱️ 27.03.2024): ``` pip install anomalib ```
avalanche (πŸ₯ˆ30 Β· ⭐ 1.7K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 280 Β· πŸ“₯ 19 Β· πŸ“¦ 80 Β· πŸ“‹ 800 - 10% open Β· ⏱️ 27.03.2024): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 280 Β· πŸ“₯ 19 Β· πŸ“¦ 82 Β· πŸ“‹ 800 - 10% open Β· ⏱️ 27.03.2024): ``` git clone https://github.com/ContinualAI/avalanche @@ -8158,12 +8162,12 @@ _Libraries for connecting to, operating, and querying databases._
tensorly (πŸ₯ˆ30 Β· ⭐ 1.5K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 270 Β· πŸ“¦ 620 Β· πŸ“‹ 250 - 23% open Β· ⏱️ 11.04.2024): +- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 270 Β· πŸ“¦ 630 Β· πŸ“‹ 260 - 23% open Β· ⏱️ 11.04.2024): ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 18K / month Β· πŸ“¦ 58 Β· ⏱️ 08.03.2023): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 26K / month Β· πŸ“¦ 58 Β· ⏱️ 08.03.2023): ``` pip install tensorly ``` @@ -8174,12 +8178,12 @@ _Libraries for connecting to, operating, and querying databases._
adapter-transformers (πŸ₯ˆ28 Β· ⭐ 2.4K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface -- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 320 Β· πŸ“¦ 36 Β· πŸ“‹ 370 - 12% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 320 Β· πŸ“¦ 42 Β· πŸ“‹ 370 - 11% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 150K / month Β· πŸ“¦ 7 Β· ⏱️ 16.12.2023): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 120K / month Β· πŸ“¦ 7 Β· ⏱️ 16.12.2023): ``` pip install adapter-transformers ``` @@ -8191,47 +8195,47 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 19K / month Β· πŸ“¦ 22 Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 18K / month Β· πŸ“¦ 22 Β· ⏱️ 03.01.2021): ``` pip install pyswarms ```
kmodes (πŸ₯ˆ28 Β· ⭐ 1.2K) - Python implementations of the k-modes and k-prototypes clustering.. MIT -- [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 420 Β· πŸ“¦ 2.5K Β· πŸ“‹ 160 - 10% open Β· ⏱️ 17.01.2024): +- [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 420 Β· πŸ“¦ 2.6K Β· πŸ“‹ 160 - 10% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 400K / month Β· πŸ“¦ 35 Β· ⏱️ 06.09.2022): +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 400K / month Β· πŸ“¦ 37 Β· ⏱️ 06.09.2022): ``` pip install kmodes ``` -- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 41K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 42K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge kmodes ```
pysc2 (πŸ₯‰27 Β· ⭐ 7.9K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 -- [GitHub](https://github.com/google-deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.2K Β· πŸ“₯ 31K Β· πŸ“¦ 730 Β· πŸ“‹ 280 - 17% open Β· ⏱️ 19.04.2023): +- [GitHub](https://github.com/google-deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.1K Β· πŸ“₯ 31K Β· πŸ“¦ 730 Β· πŸ“‹ 280 - 17% open Β· ⏱️ 19.04.2023): ``` git clone https://github.com/deepmind/pysc2 ``` -- [PyPi](https://pypi.org/project/pysc2) (πŸ“₯ 2.5K / month Β· πŸ“¦ 26 Β· ⏱️ 13.07.2022): +- [PyPi](https://pypi.org/project/pysc2) (πŸ“₯ 2.9K / month Β· πŸ“¦ 26 Β· ⏱️ 13.07.2022): ``` pip install pysc2 ```
pyclustering (πŸ₯‰27 Β· ⭐ 1.1K) - pyclustering is a Python, C++ data mining library. BSD-3 -- [GitHub](https://github.com/annoviko/pyclustering) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 250 Β· πŸ“₯ 500 Β· πŸ“¦ 650 Β· πŸ“‹ 660 - 10% open Β· ⏱️ 08.02.2024): +- [GitHub](https://github.com/annoviko/pyclustering) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 250 Β· πŸ“₯ 510 Β· πŸ“¦ 650 Β· πŸ“‹ 660 - 10% open Β· ⏱️ 08.02.2024): ``` git clone https://github.com/annoviko/pyclustering ``` -- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 55K / month Β· πŸ“¦ 35 Β· ⏱️ 25.11.2020): +- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 50K / month Β· πŸ“¦ 35 Β· ⏱️ 25.11.2020): ``` pip install pyclustering ``` @@ -8240,9 +8244,9 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyclustering ```
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dstack (πŸ₯‰27 Β· ⭐ 1.1K) - dstack is an open-source orchestration engine for cost-effectively.. MPL-2.0 +
dstack (πŸ₯‰27 Β· ⭐ 1.1K) - dstack is an open-source orchestration engine for running AI workloads.. MPL-2.0 -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 72 Β· πŸ“¦ 14 Β· πŸ“‹ 630 - 9% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 72 Β· πŸ“¦ 14 Β· πŸ“‹ 660 - 9% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/dstackai/dstack @@ -8259,7 +8263,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/facebookresearch/AugLy ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.4K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.2K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): ``` pip install augly ``` @@ -8271,7 +8275,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/modAL-python/modAL ``` -- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 200K / month Β· πŸ“¦ 17 Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 220K / month Β· πŸ“¦ 17 Β· ⏱️ 25.04.2024): ``` pip install modAL ``` @@ -8283,7 +8287,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/sepandhaghighi/pycm ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 51K / month Β· πŸ“¦ 18 Β· ⏱️ 07.06.2023): +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 50K / month Β· πŸ“¦ 18 Β· ⏱️ 07.06.2023): ``` pip install pycm ``` @@ -8295,7 +8299,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` -- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 17K / month Β· πŸ“¦ 13 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 16K / month Β· πŸ“¦ 13 Β· ⏱️ 09.10.2023): ``` pip install metric-learn ``` @@ -8311,7 +8315,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 86K / month Β· πŸ“¦ 12 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 89K / month Β· πŸ“¦ 12 Β· ⏱️ 11.10.2023): ``` pip install prince ``` @@ -8322,12 +8326,12 @@ _Libraries for connecting to, operating, and querying databases._
Trax (πŸ₯‰25 Β· ⭐ 8K) - Trax Deep Learning with Clear Code and Speed. Apache-2 -- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 810 Β· πŸ“¦ 140 Β· πŸ“‹ 240 - 47% open Β· ⏱️ 01.02.2024): +- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 810 Β· πŸ“¦ 150 Β· πŸ“‹ 240 - 47% open Β· ⏱️ 01.02.2024): ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 3.4K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 3.6K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): ``` pip install trax ``` @@ -8339,11 +8343,11 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 7K / month Β· πŸ“¦ 17 Β· ⏱️ 03.05.2022): +- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 6.7K / month Β· πŸ“¦ 17 Β· ⏱️ 03.05.2022): ``` pip install gplearn ``` -- [Conda](https://anaconda.org/conda-forge/gplearn) (πŸ“₯ 6.7K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gplearn) (πŸ“₯ 6.8K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge gplearn ``` @@ -8355,7 +8359,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 7.5K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 7.6K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): ``` pip install tabpy ``` @@ -8371,11 +8375,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 15K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 19K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): ``` pip install pymars ```
+
MONAILabel (πŸ₯‰23 Β· ⭐ 540) - MONAI Label is an intelligent open source image labeling and.. Apache-2 + +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 180 Β· πŸ“₯ 79K Β· πŸ“‹ 500 - 22% open Β· ⏱️ 24.04.2024): + + ``` + git clone https://github.com/Project-MONAI/MONAILabel + ``` +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 490 / month Β· ⏱️ 01.10.2023): + ``` + pip install monailabel-weekly + ``` +
AstroML (πŸ₯‰22 Β· ⭐ 1K) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 - [GitHub](https://github.com/astroML/astroML) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 290 Β· πŸ“‹ 160 - 38% open Β· ⏱️ 04.01.2024): @@ -8383,7 +8399,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/astroML/astroML ``` -- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.2K / month Β· πŸ“¦ 37 Β· ⏱️ 01.03.2022): +- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.3K / month Β· πŸ“¦ 37 Β· ⏱️ 01.03.2022): ``` pip install astroML ``` @@ -8399,7 +8415,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 85K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 87K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): ``` pip install biopandas ``` @@ -8408,18 +8424,6 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge biopandas ```
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MONAILabel (πŸ₯‰22 Β· ⭐ 530) - MONAI Label is an intelligent open source image labeling and.. Apache-2 - -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 180 Β· πŸ“₯ 78K Β· πŸ“‹ 500 - 22% open Β· ⏱️ 16.04.2024): - - ``` - git clone https://github.com/Project-MONAI/MONAILabel - ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 130 / month Β· ⏱️ 01.10.2023): - ``` - pip install monailabel-weekly - ``` -
SUOD (πŸ₯‰22 Β· ⭐ 370) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2 - [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 48 Β· πŸ“¦ 510 Β· πŸ“‹ 14 - 78% open Β· ⏱️ 08.02.2024): @@ -8439,19 +8443,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/kLabUM/rrcf ``` -- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 2.4K / month Β· πŸ“¦ 8 Β· ⏱️ 30.04.2023): +- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 2.1K / month Β· πŸ“¦ 8 Β· ⏱️ 30.04.2023): ``` pip install rrcf ```
benchmark_VAE (πŸ₯‰19 Β· ⭐ 1.7K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 -- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 140 Β· πŸ“¦ 21 Β· πŸ“‹ 56 - 30% open Β· ⏱️ 09.04.2024): +- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 150 Β· πŸ“¦ 21 Β· πŸ“‹ 57 - 31% open Β· ⏱️ 09.04.2024): ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 810 / month Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 730 / month Β· ⏱️ 06.09.2023): ``` pip install pythae ``` @@ -8463,19 +8467,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 26 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 94 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ```
pymdp (πŸ₯‰17 Β· ⭐ 390) - A Python implementation of active inference for Markov Decision Processes. MIT -- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 70 Β· πŸ“¦ 9 Β· πŸ“‹ 40 - 37% open Β· ⏱️ 11.02.2024): +- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 69 Β· πŸ“¦ 9 Β· πŸ“‹ 40 - 37% open Β· ⏱️ 11.02.2024): ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 260 / month Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 320 / month Β· ⏱️ 08.12.2022): ``` pip install inferactively-pymdp ``` @@ -8487,21 +8491,21 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 110 / month Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 130 / month Β· ⏱️ 03.10.2023): ``` pip install neuralcompression ```
Show 21 hidden projects... +- PaddleHub (πŸ₯ˆ32 Β· ⭐ 13K Β· πŸ’€) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 - cleanlab (πŸ₯ˆ32 Β· ⭐ 8.6K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 -- PaddleHub (πŸ₯ˆ31 Β· ⭐ 12K Β· πŸ’€) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 - alibi-detect (πŸ₯ˆ29 Β· ⭐ 2.1K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel - pandas-ai (πŸ₯ˆ28 Β· ⭐ 11K) - Chat with your database (SQL, CSV, pandas, polars, mongodb,.. ❗Unlicensed - minisom (πŸ₯ˆ28 Β· ⭐ 1.4K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 - Cython BLIS (πŸ₯ˆ28 Β· ⭐ 210) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 -- metricflow (πŸ₯‰26 Β· ⭐ 1.1K) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed - Feature Engine (πŸ₯‰25 Β· ⭐ 1.7K Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 +- metricflow (πŸ₯‰25 Β· ⭐ 1.1K) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed - findspark (πŸ₯‰24 Β· ⭐ 510 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 - opyrator (πŸ₯‰22 Β· ⭐ 3K Β· πŸ’€) - Turns your machine learning code into microservices with web API,.. MIT - mlens (πŸ₯‰22 Β· ⭐ 830 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT diff --git a/history/2024-04-25_changes.md b/history/2024-04-25_changes.md new file mode 100644 index 00000000..4b7d796f --- /dev/null +++ b/history/2024-04-25_changes.md @@ -0,0 +1,30 @@ +## πŸ“ˆ Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- StatsModels (πŸ₯‡45 Β· ⭐ 9.5K Β· πŸ“ˆ) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +- LightGBM (πŸ₯ˆ43 Β· ⭐ 16K Β· πŸ“ˆ) - A fast, distributed, high performance gradient boosting (GBT, GBDT,.. MIT +- TensorFlow Datasets (πŸ₯‡40 Β· ⭐ 4.2K Β· πŸ“ˆ) - TFDS is a collection of datasets ready to use with.. Apache-2 +- Thinc (πŸ₯ˆ36 Β· ⭐ 2.8K Β· πŸ“ˆ) - A refreshing functional take on deep learning, compatible with your.. MIT +- stanza (πŸ₯ˆ35 Β· ⭐ 7K Β· πŸ“ˆ) - Stanford NLP Python library for tokenization, sentence.. Apache-2 +- mlpack (πŸ₯ˆ34 Β· ⭐ 4.8K Β· πŸ“ˆ) - mlpack: a fast, header-only C++ machine learning library. BSD-3 +- StatsForecast (πŸ₯‡34 Β· ⭐ 3.6K Β· πŸ“ˆ) - Lightning fast forecasting with statistical and.. Apache-2 +- USearch (πŸ₯‰30 Β· ⭐ 1.6K Β· πŸ“ˆ) - Fast Open-Source Search & Clustering engine for Vectors &.. Apache-2 +- Talos (πŸ₯ˆ27 Β· ⭐ 1.6K Β· πŸ“ˆ) - Hyperparameter Experiments with TensorFlow and Keras. MIT +- ffcv (πŸ₯‰25 Β· ⭐ 2.7K Β· πŸ“ˆ) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 + +## πŸ“‰ Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- pytorch-lightning (πŸ₯ˆ44 Β· ⭐ 27K Β· πŸ“‰) - Pretrain, finetune and deploy AI models on multiple.. Apache-2 +- DeepSpeed (πŸ₯‡41 Β· ⭐ 33K Β· πŸ“‰) - DeepSpeed is a deep learning optimization library that.. Apache-2 +- dgl (πŸ₯‡38 Β· ⭐ 13K Β· πŸ“‰) - Python package built to ease deep learning on graph, on top of.. Apache-2 +- imbalanced-learn (πŸ₯‡36 Β· ⭐ 6.7K Β· πŸ“‰) - A Python Package to Tackle the Curse of Imbalanced.. MIT +- fairseq (πŸ₯ˆ35 Β· ⭐ 29K Β· πŸ“‰) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT +- igraph (πŸ₯‡33 Β· ⭐ 1.2K Β· πŸ“‰) - Python interface for igraph. ❗️GPL-2.0 +- D-Tale (πŸ₯‰29 Β· ⭐ 4.5K Β· πŸ“‰) - Visualizer for pandas data structures. ❗️LGPL-2.1 +- Neural Network Libraries (πŸ₯‰28 Β· ⭐ 2.7K Β· πŸ“‰) - Neural Network Libraries. Apache-2 +- Alibi (πŸ₯ˆ28 Β· ⭐ 2.3K Β· πŸ“‰) - Algorithms for explaining machine learning models. ❗️Intel +- YouTokenToMe (πŸ₯‰21 Β· ⭐ 940 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT + diff --git a/history/2024-04-25_projects.csv b/history/2024-04-25_projects.csv new file mode 100644 index 00000000..7c3e2a42 --- /dev/null +++ b/history/2024-04-25_projects.csv @@ -0,0 +1,918 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,helm_id,trending,updated_github_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,brew_id,apt_id,yum_id,conda_dependent_project_count,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2024-04-23 11:33:49.000000,2024-04-15 22:07:23,1551.0,15.0,685.0,116.0,325.0,60.0,136.0,4593.0,Benchmarks of approximate nearest neighbor libraries in Python.,103.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2024-04-18 17:08:05.000000,2024-04-18 17:08:04,332.0,29.0,162.0,54.0,197.0,,3.0,2166.0,Collection of web-scraping and crawling libraries.,16.0,0,True,2024-04-18 17:08:10.000,2024.04.18,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-04-25 14:05:07.000000,2024-04-18 13:48:56,345.0,24.0,227.0,86.0,193.0,4.0,5.0,3407.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2024-04-18 13:49:04.000,2024.04.18,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-04-25 14:05:07.000000,2024-04-18 13:48:56,345.0,24.0,227.0,86.0,193.0,4.0,5.0,3407.0,Collection of database clients for python.,12.0,0,True,2024-04-18 13:49:04.000,2024.04.18,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-04-25 14:05:07.000000,2024-04-18 13:48:56,345.0,24.0,227.0,86.0,193.0,4.0,5.0,3407.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2024-04-18 13:49:04.000,2024.04.18,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-04-25 14:05:07.000000,2024-04-18 13:48:56,345.0,24.0,227.0,86.0,193.0,4.0,5.0,3407.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2024-04-18 13:49:04.000,2024.04.18,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2024-04-25 14:11:34.000000,2024-04-25 11:41:47,163419.0,4457.0,73872.0,7640.0,26703.0,2321.0,37209.0,184842.0,An Open Source Machine Learning Framework for Everyone.,4592.0,56,True,2024-03-09 00:23:14.000,2.16.1,193.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],378666.0,362938.0,https://pypi.org/project/tensorflow,2024-03-09 00:23:14.000,15728.0,22560575.0,23626670.0,https://anaconda.org/conda-forge/tensorflow,2024-01-30 00:38:25.304,4562713.0,https://hub.docker.com/r/tensorflow/tensorflow,2024-04-25 12:52:21.383092,2393.0,76953433.0,1.0,,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2024-04-25 14:09:09.000000,2024-04-25 14:07:53,72262.0,3482.0,21034.0,1702.0,83162.0,14058.0,28380.0,77874.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4801.0,55,True,2024-04-24 16:12:17.000,2.3.0,52.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],446758.0,433387.0,https://pypi.org/project/torch,2024-04-24 15:44:27.000,13371.0,27781415.0,28461848.0,https://anaconda.org/pytorch/pytorch,2024-04-23 12:59:17.451,21080153.0,,,,,1.0,39063.0,,,,,,,,,,,,,,,,,,, +8,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2024-04-25 14:11:39.000000,2024-04-25 11:54:27,31238.0,331.0,24972.0,2140.0,17111.0,2064.0,9244.0,58097.0,scikit-learn: machine learning in Python.,3110.0,52,True,2024-04-09 20:07:22.000,1.4.2,77.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],789213.0,757069.0,https://pypi.org/project/scikit-learn,2024-04-09 19:53:06.000,32144.0,65158142.0,65750045.0,https://anaconda.org/conda-forge/scikit-learn,2024-04-11 09:12:54.843,27819028.0,,,,,1.0,949.0,,,,,,,,,,,,,,,,,,, +9,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2024-04-25 14:20:00.000000,2024-04-25 13:37:55,15720.0,730.0,24756.0,1092.0,15502.0,1082.0,13785.0,124997.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2542.0,51,True,2024-04-23 22:01:20.000,4.40.1,140.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",164787.0,161491.0,https://pypi.org/project/transformers,2024-04-23 22:01:10.000,3296.0,25871978.0,25907896.0,https://anaconda.org/conda-forge/transformers,2024-04-25 09:17:28.870,1616314.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +10,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000,2024-04-25 13:43:52.000000,2024-04-25 09:59:08,50170.0,534.0,7389.0,595.0,17923.0,1525.0,9028.0,19252.0,matplotlib: plotting with Python.,1667.0,50,True,2024-04-04 01:47:18.000,3.8.4,123.0,matplotlib,conda-forge/matplotlib,,,,1233258.0,1166754.0,https://pypi.org/project/matplotlib,2024-04-09 18:34:26.000,66504.0,63187934.0,63691104.0,https://anaconda.org/conda-forge/matplotlib,2024-04-09 16:56:24.718,23145861.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +11,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2024-04-25 14:51:02.000000,2024-04-25 10:30:12,32239.0,714.0,5012.0,348.0,10656.0,1807.0,8394.0,12450.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1621.0,50,True,2024-04-02 21:56:52.000,1.13.0,101.0,scipy,conda-forge/scipy,,,,1045610.0,977647.0,https://pypi.org/project/scipy,2024-04-02 21:41:20.000,67963.0,104862208.0,106018166.0,https://anaconda.org/conda-forge/scipy,2024-04-05 03:45:35.344,47238335.0,,,,,1.0,399436.0,,,,,,,,,,,,,,,,,,, +12,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2024-04-25 15:21:12.000000,2024-04-24 22:12:34,57498.0,481.0,4293.0,295.0,13117.0,5027.0,8722.0,12384.0,A computer algebra system written in pure Python.,1295.0,48,True,2024-03-31 22:49:13.000,1.12.1rc1,55.0,sympy,conda-forge/sympy,,,,134581.0,129523.0,https://pypi.org/project/sympy,2024-03-31 22:48:43.000,5058.0,27251863.0,27312032.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,5318903.0,,,,,1.0,539440.0,,,,,,,,,,,,,,,,,,, +13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2024-04-25 13:51:40.000000,2024-04-25 11:54:33,17717.0,628.0,2108.0,220.0,4794.0,89.0,2986.0,11690.0,Python Imaging Library (Fork).,466.0,48,True,2024-04-01 12:34:53.000,10.3.0,97.0,Pillow,conda-forge/pillow,,,,1631259.0,1629558.0,https://pypi.org/project/Pillow,2024-04-01 12:17:01.000,1701.0,94906351.0,95760720.0,https://anaconda.org/conda-forge/pillow,2024-04-03 15:56:48.771,38446606.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +14,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2024-04-25 14:01:36.000000,2024-04-24 21:29:24,10608.0,351.0,19341.0,1908.0,7134.0,203.0,11613.0,60937.0,Deep Learning for humans.,1292.0,47,True,2024-04-22 23:39:26.000,3.3.2,98.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],834.0,,https://pypi.org/project/keras,2024-04-22 23:37:45.000,834.0,17666768.0,17741711.0,https://anaconda.org/conda-forge/keras,2024-04-15 18:24:44.026,3447406.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +15,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2024-04-25 13:02:22.000000,2024-04-24 23:25:58,6271.0,214.0,2778.0,312.0,4371.0,799.0,3313.0,31642.0,Streamlit A faster way to build and share data apps.,226.0,46,True,2024-04-04 17:36:56.000,1.33.0,220.0,streamlit,,,,,364636.0,363066.0,https://pypi.org/project/streamlit,2024-04-04 17:36:47.000,1570.0,3941723.0,3941723.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +16,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2024-04-25 14:11:16.000000,2024-04-25 12:56:37,40704.0,1022.0,27927.0,2032.0,46199.0,198.0,,38357.0,Apache Spark Python API.,3054.0,45,True,2024-04-18 08:17:20.000,3.4.3,44.0,pyspark,conda-forge/pyspark,,,['spark'],1311.0,,https://pypi.org/project/pyspark,2024-04-18 08:17:20.000,1311.0,29755757.0,29823162.0,https://anaconda.org/conda-forge/pyspark,2024-03-03 13:07:40.821,3100646.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,,, +17,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2024-04-25 14:55:01.000000,2024-04-25 14:03:35,21414.0,917.0,5244.0,472.0,27304.0,3644.0,14181.0,31085.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,1002.0,45,True,2024-04-17 23:31:04.000,ray-2.11.0,101.0,ray,conda-forge/ray-tune,,,,15512.0,15009.0,https://pypi.org/project/ray,2024-04-17 21:02:43.000,503.0,4114443.0,4119492.0,https://anaconda.org/conda-forge/ray-tune,2024-04-19 07:36:07.387,201910.0,,,,,1.0,211.0,,,,,,,,,,,,,,,,,,, +18,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2024-04-25 13:58:31.000000,2024-04-25 13:58:27,20390.0,1261.0,2522.0,321.0,13243.0,1667.0,3829.0,27946.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",682.0,45,True,2024-04-03 22:09:19.000,jax-v0.4.26,160.0,jax,conda-forge/jaxlib,,,,25321.0,24397.0,https://pypi.org/project/jax,2024-04-03 21:45:34.000,924.0,5887821.0,5912308.0,https://anaconda.org/conda-forge/jaxlib,2024-04-07 22:22:00.984,1126427.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +19,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2024-04-25 14:06:10.000000,2024-04-24 20:35:52,6817.0,82.0,8652.0,912.0,5088.0,434.0,4753.0,25568.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",640.0,45,True,2023-12-19 21:59:17.000,2.0.3,80.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,90542.0,88643.0,https://pypi.org/project/xgboost,2023-12-19 21:59:17.000,1899.0,18889029.0,18993280.0,https://anaconda.org/conda-forge/xgboost,2024-04-18 01:21:37.436,4688225.0,,,,,1.0,8467.0,,,,,,,,,,,,,,,,,,, +20,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2024-04-25 14:01:45.000000,2024-04-25 12:19:44,48049.0,1780.0,5428.0,721.0,45730.0,1929.0,16973.0,21616.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1193.0,45,True,2024-04-09 11:19:43.000,2.6.1,67.0,paddlepaddle,,,,['paddle'],5084.0,4978.0,https://pypi.org/project/paddlepaddle,2024-03-19 06:55:39.000,106.0,267405.0,267572.0,,,,,,,,1.0,15369.0,,,,,,,,,,,,,,,,,,, +21,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2024-04-25 14:29:00.000000,2024-04-22 21:44:20,20465.0,92.0,4158.0,442.0,6040.0,759.0,6874.0,18836.0,"Interactive Data Visualization in the browser, from Python.",691.0,45,True,2024-04-11 21:02:24.000,3.4.1,200.0,bokeh,conda-forge/bokeh,,,,90493.0,86636.0,https://pypi.org/project/bokeh,2024-04-11 21:02:24.000,3857.0,5294700.0,5593202.0,https://anaconda.org/conda-forge/bokeh,2024-04-12 05:55:15.282,13731099.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +22,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2024-04-23 19:32:22.000000,2024-04-19 16:08:39,15315.0,46.0,2821.0,281.0,3876.0,2763.0,2751.0,9544.0,Statsmodels: statistical modeling and econometrics in Python.,426.0,45,True,2024-04-17 08:41:57.000,0.14.2,37.0,statsmodels,conda-forge/statsmodels,,,,127300.0,121563.0,https://pypi.org/project/statsmodels,2024-04-17 08:41:57.000,5737.0,17616116.0,17894290.0,https://anaconda.org/conda-forge/statsmodels,2023-12-14 18:03:00.804,12796006.0,,,,,1.0,31.0,,1.0,,,,,,,,,,,,,,,,, +23,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2024-04-25 15:36:21.000000,2024-04-25 07:13:01,6539.0,368.0,2121.0,155.0,3645.0,511.0,3620.0,28798.0,"Wrap UIs around any model, share with anyone.",302.0,44,True,2024-04-18 18:19:38.000,4.27.0,557.0,gradio,,,,,28695.0,28324.0,https://pypi.org/project/gradio,2024-04-18 18:19:38.000,371.0,5898663.0,5898663.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +24,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2024-04-23 07:21:23.000000,2024-04-16 10:00:22,16124.0,17.0,4283.0,554.0,3990.0,107.0,5493.0,28736.0,Industrial-strength Natural Language Processing (NLP) in Python.,750.0,44,True,2024-02-15 19:16:59.000,3.7.4,230.0,spacy,conda-forge/spacy,,,,89307.0,86236.0,https://pypi.org/project/spacy,2024-04-22 09:55:45.000,3071.0,8633723.0,8707424.0,https://anaconda.org/conda-forge/spacy,2024-04-04 16:04:13.461,3390260.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +25,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2024-04-24 17:18:21.000000,2024-04-22 17:52:43,10270.0,183.0,3247.0,246.0,10081.0,709.0,6176.0,26884.0,"Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.",945.0,44,True,2024-04-23 19:06:46.000,2.2.3,270.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],32291.0,31449.0,https://pypi.org/project/pytorch-lightning,2024-04-23 19:06:46.000,842.0,4833000.0,4857190.0,https://anaconda.org/conda-forge/pytorch-lightning,2024-04-12 18:53:30.868,1102964.0,,,,,2.0,7481.0,,-1.0,Lightning-AI/pytorch-lightning,,,,,,,,,,,,,,,, +26,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2024-04-25 13:32:38.000000,2024-04-25 08:48:47,5743.0,472.0,3930.0,289.0,8000.0,1428.0,2413.0,17268.0,Open source platform for the machine learning lifecycle.,723.0,44,True,2024-04-17 13:49:52.000,2.12.1,96.0,mlflow,conda-forge/mlflow,,,,34649.0,34056.0,https://pypi.org/project/mlflow,2024-04-17 03:38:20.000,593.0,12613597.0,12654412.0,https://anaconda.org/conda-forge/mlflow,2024-04-19 15:11:57.032,1877510.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +27,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2024-04-24 19:11:58.000000,2024-04-17 15:46:48,6434.0,106.0,2482.0,278.0,1626.0,1499.0,1403.0,15268.0,The interactive graphing library for Python This project now includes Plotly Express!.,261.0,44,True,2024-04-17 15:27:19.000,5.21.0,297.0,plotly,conda-forge/plotly,,,,265371.0,259478.0,https://pypi.org/project/plotly,2024-04-17 15:19:34.000,5886.0,15388916.0,15514755.0,https://anaconda.org/conda-forge/plotly,2024-04-17 19:12:51.910,5612993.0,,,,,1.0,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,7.0,6414.0,,,,,,,,,,, +28,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2024-04-25 12:36:36.000000,2024-04-25 00:49:47,7679.0,105.0,3127.0,280.0,3751.0,319.0,2986.0,14178.0,Network Analysis in Python.,717.0,44,True,2024-04-06 13:09:07.000,networkx-3.3,94.0,networkx,conda-forge/networkx,,,,261150.0,245589.0,https://pypi.org/project/networkx,2024-04-06 12:59:44.000,15561.0,51207972.0,51558026.0,https://anaconda.org/conda-forge/networkx,2024-04-08 01:42:36.044,15402396.0,,,,,1.0,67.0,,,,,,,,,,,,,,,,,,, +29,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2024-04-25 14:39:04.000000,2024-04-25 14:39:04,8169.0,126.0,1666.0,211.0,5794.0,1049.0,4150.0,11997.0,Parallel computing with task scheduling.,600.0,44,True,2024-04-19 21:09:49.000,2024.4.2,195.0,dask,conda-forge/dask,,,,62663.0,59447.0,https://pypi.org/project/dask,2024-04-19 21:09:49.000,3216.0,7539928.0,7773858.0,https://anaconda.org/conda-forge/dask,2024-04-20 03:30:51.092,10994713.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,, +30,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2024-04-25 13:30:59.000000,2024-04-25 11:12:45,4853.0,221.0,2030.0,1686.0,4702.0,292.0,2674.0,11695.0,WebGL2 powered visualization framework.,259.0,44,True,2024-04-23 19:13:04.000,9.0.10,650.0,pydeck,conda-forge/pydeck,,,['jupyter'],8048.0,7487.0,https://pypi.org/project/pydeck,2024-04-24 19:27:27.000,61.0,3199172.0,3633945.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,504953.0,,,,,1.0,,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2024-04-23 19:12:37.056,500.0,424674.0,,,,,,,,,,, +31,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2024-04-24 22:48:41.000000,2024-04-24 22:48:41,5821.0,76.0,1628.0,193.0,4986.0,664.0,1228.0,6539.0,TensorFlows Visualization Toolkit.,319.0,44,True,2024-02-16 19:56:55.000,2.16.2,60.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],232397.0,229359.0,https://pypi.org/project/tensorboard,2024-02-16 19:56:55.000,3038.0,28258415.0,28358712.0,https://anaconda.org/conda-forge/tensorboard,2024-02-18 19:53:36.212,4613676.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +32,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2024-04-21 11:12:35.000000,2024-04-05 12:26:56,2648.0,58.0,3124.0,240.0,856.0,1115.0,1322.0,21618.0,A game theoretic approach to explain the output of any machine learning model.,237.0,43,True,2024-03-08 11:55:08.000,0.45.0,102.0,shap,conda-forge/shap,,,,17466.0,16976.0,https://pypi.org/project/shap,2024-03-08 11:55:08.000,490.0,7657403.0,7723193.0,https://anaconda.org/conda-forge/shap,2024-04-03 17:47:00.611,2631616.0,,,,,1.0,,,,shap/shap,,,,,,,,,,,,,,,, +33,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2024-04-25 02:04:30.000000,2024-04-23 16:49:48,2717.0,76.0,3599.0,438.0,3191.0,315.0,2406.0,16841.0,Open standard for machine learning interoperability.,313.0,43,True,2024-03-25 15:40:18.000,1.16.0,32.0,onnx,conda-forge/onnx,,,,27490.0,26743.0,https://pypi.org/project/onnx,2024-03-25 15:25:07.000,747.0,5382176.0,5403406.0,https://anaconda.org/conda-forge/onnx,2024-03-26 22:34:37.040,964630.0,,,,,1.0,20338.0,,,,,,,,,,,,,,,,,,, +34,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2024-04-25 09:27:08.000000,2024-04-23 13:09:13,3457.0,43.0,3795.0,437.0,3120.0,345.0,2960.0,16049.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",300.0,43,True,2024-01-26 03:29:02.000,4.3.0,36.0,lightgbm,conda-forge/lightgbm,,,,32935.0,32059.0,https://pypi.org/project/lightgbm,2024-01-26 03:29:02.000,876.0,7563334.0,7618561.0,https://anaconda.org/conda-forge/lightgbm,2024-01-26 13:26:41.503,2262013.0,,,,,2.0,220345.0,,1.0,,,,,,,,,,,,,,,,, +35,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2024-04-25 14:36:50.000000,2024-04-25 14:36:49,3234.0,5.0,1856.0,259.0,1103.0,150.0,2365.0,11957.0,Statistical data visualization in Python.,212.0,43,True,2024-01-25 13:21:49.000,0.13.2,37.0,seaborn,conda-forge/seaborn,,,,408178.0,396015.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,12163.0,17524352.0,17709325.0,https://anaconda.org/conda-forge/seaborn,2024-01-27 07:37:15.644,8508625.0,,,,,1.0,384.0,,,,,,,,,,,,,,,,,,, +36,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2024-04-25 15:49:50.000000,2024-04-25 15:17:14,2135.0,488.0,1262.0,178.0,2467.0,514.0,669.0,10979.0,Development repository for the Triton language and compiler.,248.0,43,True,2024-04-05 02:47:42.000,2.3.0,193.0,triton,,,,,23545.0,23434.0,https://pypi.org/project/triton,2024-04-05 02:47:42.000,111.0,10667461.0,10667461.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +37,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2024-04-24 20:38:10.000000,2024-04-22 15:43:08,7425.0,313.0,1985.0,417.0,1056.0,832.0,903.0,20490.0,Data Apps & Dashboards for Python. No JavaScript Required.,153.0,42,True,2024-03-06 20:00:34.000,2.16.1,177.0,dash,conda-forge/dash,,,,63419.0,61898.0,https://pypi.org/project/dash,2024-03-06 19:54:50.000,1521.0,2831703.0,2858955.0,https://anaconda.org/conda-forge/dash,2024-03-10 12:59:07.948,1253582.0,,,,,1.0,70.0,,,,,,,,,,,,,,,,,,, +38,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2024-04-25 11:35:11.000000,2024-04-24 21:47:07,3834.0,54.0,6847.0,407.0,5235.0,993.0,2364.0,15438.0,"Datasets, Transforms and Models specific to Computer Vision.",584.0,42,True,2024-04-24 16:20:12.000,0.18.0,44.0,torchvision,conda-forge/torchvision,,,['pytorch'],5347.0,21.0,https://pypi.org/project/torchvision,2024-04-24 15:47:57.000,5326.0,11550568.0,11579818.0,https://anaconda.org/conda-forge/torchvision,2024-02-26 00:12:18.834,1065762.0,,,,,1.0,37543.0,,,,,,,,,,,,,,,,,,, +39,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2024-04-19 08:49:48.000000,2024-04-05 06:11:40,14511.0,3.0,2832.0,467.0,1456.0,266.0,1515.0,13029.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,454.0,42,True,2023-07-20 15:52:53.307,0.9.9,59.0,nltk,conda-forge/nltk,,,,281381.0,268284.0,https://pypi.org/project/nltk,2023-07-20 15:52:53.307,13097.0,19831175.0,19858292.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2494803.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +40,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2024-04-25 15:16:40.000000,2024-04-25 02:08:52,6390.0,317.0,602.0,56.0,4385.0,814.0,2277.0,8203.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,175.0,42,True,2024-04-03 20:37:46.000,0.16.6,273.0,wandb,conda-forge/wandb,,,,44419.0,43620.0,https://pypi.org/project/wandb,2024-04-19 19:29:06.000,799.0,12505086.0,12515897.0,https://anaconda.org/conda-forge/wandb,2024-03-25 23:14:36.046,486537.0,,,,,1.0,,,,wandb/wandb,,,,,,,,,,,,,,,, +41,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2024-04-24 19:59:21.000000,2024-04-23 12:25:06,13929.0,100.0,2190.0,186.0,4401.0,766.0,2070.0,5868.0,Image processing in Python.,658.0,42,False,2024-04-20 19:25:20.000,0.23.2,65.0,scikit-image,conda-forge/scikit-image,,,,188989.0,178278.0,https://pypi.org/project/scikit-image,2024-04-20 19:25:20.000,10711.0,13899686.0,14033326.0,https://anaconda.org/conda-forge/scikit-image,2023-10-11 16:58:18.971,6147466.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +42,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2024-04-25 12:41:10.000000,2024-04-24 15:25:18,2274.0,184.0,3836.0,328.0,2693.0,1032.0,1596.0,32671.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",305.0,41,True,2024-04-23 23:26:47.000,0.14.2,90.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],6827.0,6718.0,https://pypi.org/project/deepspeed,2024-04-23 23:26:47.000,109.0,487560.0,487910.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,17878.0,1.0,,,-1.0,,,,,,,,,,,,,,,,, +43,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2024-04-22 17:39:55.000000,2024-04-11 17:16:39,2209.0,73.0,4562.0,304.0,460.0,65.0,799.0,29759.0,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT),..",134.0,41,True,2024-02-19 19:35:21.000,0.9.16,56.0,timm,conda-forge/timm,,,['pytorch'],27600.0,27154.0,https://pypi.org/project/timm,2024-02-19 19:33:42.000,446.0,4949369.0,5062181.0,https://anaconda.org/conda-forge/timm,2024-02-21 16:25:26.726,139109.0,,,,,1.0,6473559.0,,,huggingface/pytorch-image-models,,,,,,,,,,,,,,,, +44,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2024-04-25 14:16:11.035525,2024-04-25 12:41:27,19649.0,674.0,2578.0,274.0,20093.0,723.0,10011.0,26902.0,"A cloud-native vector database, storage for next generation AI applications.",269.0,41,True,2024-04-16 15:00:53.000,2.4.0,93.0,pymilvus,,milvusdb/milvus,,,89.0,,https://pypi.org/project/pymilvus,2024-03-20 10:41:55.000,89.0,591318.0,853789.0,,,,https://hub.docker.com/r/milvusdb/milvus,2024-04-25 14:16:11.035525,43.0,14220632.0,1.0,211436.0,,,,,,,,,,,,,,,,,,, +45,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2024-04-25 13:52:24.000000,2024-04-25 10:24:33,1380.0,70.0,2322.0,131.0,397.0,1049.0,923.0,13778.0,Multilingual Sentence & Image Embeddings with BERT.,156.0,41,True,2024-04-17 13:16:06.000,2.7.0,51.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],31595.0,30774.0,https://pypi.org/project/sentence-transformers,2024-04-17 13:15:42.000,821.0,4332622.0,4337969.0,https://anaconda.org/conda-forge/sentence-transformers,2024-04-17 14:59:51.983,229946.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +46,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2024-04-25 13:07:57.000000,2024-04-25 08:56:58,9255.0,94.0,1135.0,138.0,5437.0,232.0,4405.0,13118.0,ML Experiments and Data Management with Git.,292.0,41,True,2024-04-16 15:45:20.000,3.50.0,522.0,dvc,conda-forge/dvc,,,,14631.0,14532.0,https://pypi.org/project/dvc,2024-04-16 15:45:20.000,99.0,459397.0,502374.0,https://anaconda.org/conda-forge/dvc,2024-04-17 00:08:53.461,1810823.0,,,,,1.0,43350.0,,,,,,,,,dvc,dvc,dvc,,,,,,,, +47,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2024-04-21 14:39:00.000000,2024-04-12 11:59:46,8258.0,23.0,3321.0,477.0,703.0,52.0,2136.0,13024.0,A toolkit for making real world machine learning and data analysis applications in C++.,193.0,41,False,2024-04-03 23:33:43.000,19.24.4,37.0,dlib,conda-forge/dlib,,,,27349.0,26544.0,https://pypi.org/project/dlib,2024-04-03 23:33:43.000,805.0,544545.0,559629.0,https://anaconda.org/conda-forge/dlib,2024-04-04 08:17:12.401,682902.0,,,,,2.0,25423.0,,,,,,,,,,,,,,,,,,, +48,Altair,altair-viz/altair,data-viz,,https://github.com/vega/altair,https://github.com/vega/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2024-04-14 13:46:37.000000,2024-04-14 06:39:40,3660.0,41.0,761.0,141.0,1355.0,168.0,1771.0,8914.0,Declarative statistical visualization library for Python.,163.0,41,True,2024-03-30 15:36:52.000,5.3.0,40.0,altair,conda-forge/altair,,,,125827.0,125140.0,https://pypi.org/project/altair,2024-03-30 15:24:57.000,687.0,23259911.0,23338850.0,https://anaconda.org/conda-forge/altair,2024-03-30 18:57:22.082,2210283.0,,,,,1.0,120.0,,,vega/altair,,,,,,,,,,,,,,,, +49,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2024-04-25 15:25:01.000000,2024-04-25 15:25:00,10498.0,4270.0,883.0,57.0,1122.0,568.0,1588.0,8231.0,"Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker,..",197.0,41,True,2024-04-25 15:09:46.000,1.35.26.de1,777.0,litellm,,,,others,1633.0,1530.0,https://pypi.org/project/litellm,2024-04-25 06:41:23.000,103.0,560256.0,560503.0,,,,,,,,1.0,247.0,,,,,,,,,,,,,,,,,,, +50,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2024-04-24 15:16:51.000000,2024-04-22 17:46:17,9848.0,122.0,1921.0,225.0,3908.0,255.0,3009.0,8155.0,Bayesian Modeling and Probabilistic Programming in Python.,488.0,41,True,2024-04-15 09:11:30.000,5.13.1,82.0,pymc3,conda-forge/pymc3,,,,3385.0,3135.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,250.0,874157.0,880353.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,556264.0,,,,,1.0,1937.0,,,,,,,,,,,,,,,,,,, +51,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2024-04-25 03:35:05.000000,2024-04-25 03:27:41,47790.0,537.0,1147.0,192.0,383.0,502.0,1755.0,7744.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1227.0,41,True,2024-04-18 20:19:33.000,1.2.5,111.0,catboost,conda-forge/catboost,,,,399.0,13.0,https://pypi.org/project/catboost,2024-04-18 18:24:32.000,386.0,2064891.0,2103998.0,https://anaconda.org/conda-forge/catboost,2024-04-18 20:39:24.300,1477481.0,,,,,2.0,242663.0,,,,,,,,,,,,,,,,,,, +52,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2024-04-06 17:21:54.000000,2023-01-30 18:15:21,1757.0,,8546.0,1062.0,1451.0,90.0,1721.0,33871.0,A toolkit for developing and comparing reinforcement learning algorithms.,383.0,40,False,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,55144.0,52420.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,2724.0,501306.0,507004.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,273546.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +53,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2024-04-25 09:09:30.000000,2024-04-17 03:08:02,2762.0,20.0,7512.0,610.0,2225.0,214.0,1587.0,25608.0,The fastai deep learning library.,665.0,40,True,2024-02-01 00:30:31.000,2.7.14,148.0,fastai,,,,['pytorch'],17343.0,16991.0,https://pypi.org/project/fastai,2024-02-01 00:30:31.000,352.0,386080.0,386080.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +54,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2024-04-20 20:01:06.000000,2024-03-21 15:05:22,32610.0,18.0,4517.0,350.0,6357.0,115.0,6642.0,17954.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",593.0,40,True,2024-04-18 15:06:29.000,3.6.20,373.0,rasa,,,,['tensorflow'],4164.0,4097.0,https://pypi.org/project/rasa,2024-04-18 15:06:12.000,67.0,114076.0,114076.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +55,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2024-04-24 23:38:04.000000,2024-04-16 21:18:37,1192.0,18.0,2197.0,238.0,548.0,139.0,1134.0,11825.0,Download market data from Yahoo! Finances API.,110.0,40,True,2024-04-16 21:20:42.000,0.2.38,110.0,yfinance,ranaroussi/yfinance,,,,37256.0,36895.0,https://pypi.org/project/yfinance,2024-04-16 21:20:42.000,361.0,1596265.0,1598967.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,89198.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +56,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2024-04-25 14:18:06.000000,2024-04-25 12:31:54,1400.0,148.0,788.0,100.0,1349.0,128.0,1236.0,6960.0,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic..",245.0,40,True,2024-04-17 15:46:08.000,0.29.3,48.0,accelerate,conda-forge/accelerate,,,['pytorch'],34290.0,33607.0,https://pypi.org/project/accelerate,2024-04-17 15:42:33.000,683.0,7997121.0,8001205.0,https://anaconda.org/conda-forge/accelerate,2024-04-11 13:57:39.766,122548.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +57,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2024-04-25 10:08:13.000000,2024-04-23 18:16:27,1840.0,63.0,2202.0,164.0,846.0,86.0,1006.0,6678.0,Python Data. Leaflet.js Maps.,166.0,40,True,2024-02-29 08:58:17.000,0.16.0,31.0,folium,conda-forge/folium,,,,37399.0,36539.0,https://pypi.org/project/folium,2024-02-29 08:58:17.000,860.0,1094440.0,1162598.0,https://anaconda.org/conda-forge/folium,2024-02-29 12:23:49.642,2658181.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +58,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2024-04-25 13:57:47.000000,2024-04-25 11:47:32,1927.0,52.0,891.0,105.0,1594.0,441.0,1216.0,4184.0,Python tools for geographic data.,223.0,40,True,2024-01-31 19:22:01.000,0.14.3,53.0,geopandas,conda-forge/geopandas,,,['pandas'],36173.0,34153.0,https://pypi.org/project/geopandas,2024-04-13 20:59:29.000,2020.0,6814223.0,6891013.0,https://anaconda.org/conda-forge/geopandas,2024-01-31 21:02:18.644,3531154.0,,,,,1.0,2509.0,,,,,,,,,,,,,,,,,,, +59,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2024-04-25 15:48:46.000000,2024-04-25 15:18:02,6259.0,109.0,1505.0,105.0,4241.0,670.0,717.0,4175.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",305.0,40,True,2023-12-18 13:28:11.000,4.9.4,37.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],17473.0,17245.0,https://pypi.org/project/tensorflow-datasets,2023-12-18 13:28:06.000,228.0,3402382.0,3403190.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,28285.0,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,, +60,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2024-04-25 05:23:39.000000,2024-04-24 21:35:06,3645.0,163.0,1089.0,135.0,2981.0,277.0,1178.0,2040.0,A library for training and deploying machine learning models on Amazon SageMaker.,436.0,40,True,2024-04-24 21:35:10.000,2.217.0,581.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",3978.0,3879.0,https://pypi.org/project/sagemaker,2024-04-24 21:35:10.000,99.0,27937778.0,27954661.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2024-04-23 08:21:13.817,742875.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +61,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2024-04-25 08:10:54.000000,2024-04-23 16:12:26,5754.0,82.0,703.0,55.0,4989.0,1507.0,2327.0,1541.0,A distributed task scheduler for Dask.,323.0,40,True,2024-04-22 08:34:19.000,2024.4.2,227.0,distributed,conda-forge/distributed,,,,35274.0,33923.0,https://pypi.org/project/distributed,2024-04-19 21:09:55.000,1351.0,3682073.0,3967906.0,https://anaconda.org/conda-forge/distributed,2024-04-19 23:27:47.312,13434170.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +62,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2024-04-25 15:01:01.000000,2024-04-25 09:51:55,1068.0,74.0,3396.0,475.0,922.0,453.0,1928.0,28175.0,A library for efficient similarity search and clustering of dense vectors.,171.0,39,True,2024-03-20 10:41:55.000,2.4.0,93.0,pymilvus,conda-forge/faiss,,,,3677.0,3588.0,https://pypi.org/project/pymilvus,2024-03-20 10:41:55.000,89.0,591318.0,615073.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,1116490.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +63,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2024-04-24 11:04:13.000000,2024-04-08 03:19:54,4515.0,6.0,4375.0,436.0,1691.0,382.0,1452.0,15238.0,Topic Modelling for Humans.,451.0,39,True,2023-08-24 08:48:21.000,4.3.2,93.0,gensim,conda-forge/gensim,,,,61747.0,58547.0,https://pypi.org/project/gensim,2023-08-24 08:48:21.000,3200.0,5214073.0,5247521.0,https://anaconda.org/conda-forge/gensim,2024-02-08 03:02:42.101,1235933.0,,,,,1.0,4556.0,,,piskvorky/gensim,,,,,,,,,,,,,,,, +64,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2024-04-24 08:25:19.000000,2024-04-05 10:50:52,5935.0,137.0,2066.0,202.0,1187.0,74.0,2184.0,13565.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,260.0,39,True,2023-12-18 09:34:55.000,0.13.1,32.0,flair,conda-forge/python-flair,,,['pytorch'],3284.0,3185.0,https://pypi.org/project/flair,2023-12-18 09:34:55.000,99.0,151549.0,152071.0,https://anaconda.org/conda-forge/python-flair,2024-01-05 20:59:40.138,23522.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +65,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2024-04-25 14:03:57.000000,2024-04-25 10:32:44,17519.0,583.0,948.0,118.0,3495.0,104.0,1524.0,9645.0,A hyperparameter optimization framework.,263.0,39,False,2024-04-01 06:04:15.000,3.6.1,64.0,optuna,conda-forge/optuna,,,,14484.0,13954.0,https://pypi.org/project/optuna,2024-04-01 06:04:15.000,530.0,2217259.0,2235825.0,https://anaconda.org/conda-forge/optuna,2024-03-29 06:40:40.525,854041.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +66,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2024-04-25 15:42:29.000000,2024-04-25 15:42:28,9794.0,159.0,1279.0,127.0,1186.0,124.0,941.0,7881.0,A PyTorch-based Speech Toolkit.,234.0,39,True,2024-02-26 20:55:33.000,1.0.0,16.0,speechbrain,,,,['pytorch'],1805.0,1774.0,https://pypi.org/project/speechbrain,2024-02-26 20:55:33.000,31.0,3619293.0,3619293.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +67,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2024-04-25 00:53:27.000000,2024-04-24 21:15:42,4477.0,234.0,1265.0,102.0,3679.0,797.0,1448.0,7405.0,A unified framework for machine learning with time series.,356.0,39,True,2024-03-28 01:36:35.000,0.28.0,65.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],2625.0,2555.0,https://pypi.org/project/sktime,2024-03-28 01:36:35.000,70.0,862244.0,890882.0,https://anaconda.org/conda-forge/sktime-all-extras,2024-03-28 10:15:16.543,945034.0,,,,,1.0,87.0,,,sktime/sktime,,,,,,,,,,,,,,,, +68,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2024-04-25 10:51:05.000000,2024-04-25 00:06:52,4378.0,231.0,588.0,83.0,2332.0,216.0,703.0,5516.0,Flax is a neural network library for JAX that is designed for flexibility.,219.0,39,True,2024-03-14 11:35:04.000,0.8.2,43.0,flax,conda-forge/flax,,,['jax'],7262.0,7025.0,https://pypi.org/project/flax,2024-03-14 11:35:04.000,237.0,3460610.0,3461853.0,https://anaconda.org/conda-forge/flax,2024-03-14 12:49:40.118,45982.0,,,,,2.0,50.0,,,,,,,,,,,,,,,,,,, +69,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2024-04-24 21:15:05.000000,2024-04-24 21:15:05,17944.0,125.0,1283.0,83.0,7807.0,514.0,4281.0,2549.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,369.0,39,True,2024-04-19 18:04:01.000,1.7.0,78.0,mne,conda-forge/mne,,,,4064.0,3756.0,https://pypi.org/project/mne,2024-04-19 18:04:01.000,308.0,109548.0,117134.0,https://anaconda.org/conda-forge/mne,2024-04-19 20:25:11.111,356561.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +70,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2024-04-25 14:20:06.000000,2024-04-25 14:20:06,6152.0,18.0,7175.0,432.0,2877.0,1207.0,7648.0,38462.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",195.0,38,True,2024-03-29 09:49:07.000,2.7.5,44.0,paddleocr,,,,['paddle'],2537.0,2491.0,https://pypi.org/project/paddleocr,2024-03-29 09:49:07.000,46.0,162629.0,162629.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +71,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-04-24 23:49:07.000000,2024-02-05 13:23:18,2706.0,5.0,9163.0,371.0,3137.0,1496.0,6663.0,27791.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,38,True,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,,['pytorch'],2453.0,2414.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,39.0,218243.0,218243.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +72,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2024-04-25 13:52:54.000000,2024-04-25 09:59:27,35208.0,425.0,12950.0,945.0,24708.0,1180.0,,23159.0,Apache Flink Python API.,1853.0,38,True,2024-01-15 16:28:13.000,1.18.1,47.0,apache-flink,,,,,45.0,21.0,https://pypi.org/project/apache-flink,2024-03-15 08:32:38.000,24.0,67141.0,67141.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +73,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-25 21:28:33.000000,2023-01-26 21:28:45,11896.0,,6891.0,1070.0,11124.0,1805.0,7758.0,20714.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",982.0,38,False,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7517.0,7216.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,296.0,599465.0,599887.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10708.0,,,,,2.0,26806.0,,,apache/mxnet,,,,,,,,,5.0,,,,,,, +74,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2024-04-19 12:21:16.000000,2024-04-10 23:04:20,8539.0,28.0,2176.0,207.0,4172.0,22.0,1923.0,20037.0,Build multimodal AI applications with cloud-native stack.,176.0,38,True,2024-04-10 14:42:19.000,3.25.1,2461.0,jina,conda-forge/jina-core,jinaai/jina,,,1730.0,1713.0,https://pypi.org/project/jina,2024-04-10 14:39:06.000,17.0,30637.0,58739.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,61536.0,https://hub.docker.com/r/jinaai/jina,2024-04-10 14:51:03.408997,8.0,1305884.0,2.0,,,,,,,,,,,,,,,,,,,, +75,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2024-04-25 02:18:46.000000,2024-04-25 02:18:43,863.0,77.0,1589.0,129.0,753.0,431.0,493.0,13422.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,142.0,38,True,2024-04-17 02:43:56.000,1.4.4,59.0,albumentations,conda-forge/albumentations,,,['pytorch'],23047.0,22675.0,https://pypi.org/project/albumentations,2024-04-17 02:43:56.000,372.0,1779434.0,1783001.0,https://anaconda.org/conda-forge/albumentations,2024-03-05 20:01:04.905,160549.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +76,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2024-04-25 09:57:28.000000,2024-04-25 05:05:54,4080.0,185.0,2943.0,168.0,4674.0,479.0,2277.0,12995.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",289.0,38,True,2024-03-06 03:29:59.000,2.1.0,451.0,dgl,,,,,322.0,233.0,https://pypi.org/project/dgl,2024-03-05 07:16:21.000,89.0,91505.0,91505.0,,,,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,, +77,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2024-04-21 04:59:48.000000,2024-04-12 16:27:53,4816.0,117.0,4947.0,381.0,697.0,600.0,1341.0,12210.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",199.0,38,False,2024-02-24 10:01:09.000,2.7.0,58.0,glfw,conda-forge/glfw,,,,1547.0,1346.0,https://pypi.org/project/glfw,2024-02-24 10:01:09.000,201.0,222569.0,261812.0,https://anaconda.org/conda-forge/glfw,2024-02-24 15:41:47.790,192126.0,,,,,1.0,3726525.0,,,,,,,,,,,,,,,,,,, +78,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2024-01-15 03:16:24.000000,2024-01-15 03:16:24,28133.0,,2511.0,541.0,4118.0,685.0,2087.0,9851.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,38,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,17821.0,14982.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,2839.0,338492.0,364310.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2401138.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +79,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2024-04-24 11:35:11.000000,2024-04-24 11:35:11,2730.0,84.0,933.0,128.0,1850.0,264.0,634.0,9378.0,Geometric Computer Vision Library for Spatial AI.,257.0,38,True,2024-03-14 09:18:15.000,0.7.2,39.0,kornia,conda-forge/kornia,,,['pytorch'],9581.0,9436.0,https://pypi.org/project/kornia,2024-03-14 09:18:15.000,145.0,1545694.0,1548713.0,https://anaconda.org/conda-forge/kornia,2024-02-20 17:25:27.727,120127.0,,,,,1.0,1060.0,,,,,,,,,,,,,,,,,,, +80,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2024-04-24 16:51:12.000000,2024-04-17 21:17:12,1771.0,16.0,708.0,119.0,585.0,104.0,837.0,8408.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,87.0,38,True,2024-04-17 21:37:50.000,0.19.1,95.0,tokenizers,conda-forge/tokenizers,,,,73237.0,72763.0,https://pypi.org/project/tokenizers,2024-04-17 21:36:02.000,474.0,23541989.0,23576582.0,https://anaconda.org/conda-forge/tokenizers,2024-04-18 01:39:43.525,1556700.0,,,,,1.0,47.0,,,,,,,,,,,,,,,,,,, +81,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2024-04-24 13:07:22.000000,2024-04-23 17:22:07,5211.0,84.0,1712.0,130.0,991.0,347.0,1931.0,8408.0,"An open-source, low-code machine learning library in Python.",135.0,38,True,2024-04-16 03:24:08.000,3.3.1,97.0,pycaret,conda-forge/pycaret,,,,5538.0,5519.0,https://pypi.org/project/pycaret,2024-04-16 03:22:41.000,19.0,363046.0,364068.0,https://anaconda.org/conda-forge/pycaret,2024-04-16 22:09:06.497,44339.0,,,,,2.0,690.0,,,,,,,,,,,,,,,,,,, +82,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2024-04-25 14:47:06.000000,2024-04-25 14:47:06,28465.0,233.0,760.0,127.0,6141.0,562.0,1663.0,7786.0,NumPy & SciPy for GPU.,364.0,38,True,2024-04-19 07:40:12.000,13.1.0,139.0,cupy,conda-forge/cupy,cupy/cupy,,,2233.0,2014.0,https://pypi.org/project/cupy,2024-04-19 04:17:35.000,219.0,24146.0,100911.0,https://anaconda.org/conda-forge/cupy,2024-04-22 22:43:50.012,3446785.0,https://hub.docker.com/r/cupy/cupy,2024-04-19 07:42:49.196765,11.0,61609.0,1.0,172517.0,,,,,,,,,,,,,,,,,,, +83,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2024-04-17 18:52:28.000000,2024-04-17 11:57:22,2265.0,30.0,554.0,88.0,817.0,271.0,914.0,3663.0,Manipulation and analysis of geometric objects.,153.0,38,True,2024-04-16 22:26:21.000,2.0.4,123.0,shapely,conda-forge/shapely,,,,68613.0,67066.0,https://pypi.org/project/shapely,2024-04-16 22:26:21.000,1547.0,22611652.0,22820136.0,https://anaconda.org/conda-forge/shapely,2024-04-17 10:26:25.080,9168473.0,,,,,2.0,3306.0,,,,,,,,,,,,,,,,,,, +84,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2024-03-18 00:28:14.000000,2020-02-15 08:33:35,523.0,,6702.0,1285.0,166.0,670.0,225.0,32415.0,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,29578.0,27828.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,1750.0,909198.0,911005.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,151850.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +85,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2024-04-25 14:45:45.000000,2024-04-25 13:19:17,7477.0,139.0,3528.0,254.0,2944.0,953.0,2600.0,20116.0,Graph Neural Network Library for PyTorch.,493.0,37,True,2024-04-19 11:59:51.000,2.5.3,44.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],165.0,,https://pypi.org/project/torch-geometric,2024-04-19 11:59:51.000,165.0,279207.0,280090.0,https://anaconda.org/conda-forge/pytorch_geometric,2024-02-22 16:44:15.527,39774.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +86,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2024-04-25 15:04:20.000000,2024-04-25 10:16:48,3344.0,295.0,1623.0,124.0,3618.0,185.0,3015.0,13633.0,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",235.0,37,True,2024-04-24 13:24:02.000,1.25.5,90.0,haystack,,,,,1314.0,1227.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,87.0,3875.0,3875.0,,,,,,,,1.0,24.0,,,,,,,,,,,,,,,,,,, +87,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2024-04-23 19:13:44.000000,2024-04-09 16:00:51,1390.0,19.0,1616.0,151.0,770.0,215.0,558.0,12044.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,120.0,37,True,2024-03-18 18:22:40.000,4.7.0,57.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",3158.0,2962.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,196.0,652991.0,657627.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,426539.0,,,,,2.0,82.0,,,ydataai/ydata-profiling,,,,,,,,,,,,,,,, +88,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2024-04-24 06:45:59.000000,2023-07-11 16:23:35,1095.0,,1519.0,253.0,668.0,415.0,1045.0,11779.0,Video editing with Python.,160.0,37,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,38450.0,37395.0,https://pypi.org/project/moviepy,2021-12-15 14:41:26.454,1055.0,941152.0,944092.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,238141.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +89,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2024-04-25 15:29:08.000000,2024-04-19 11:57:32,6189.0,108.0,3351.0,242.0,1584.0,1140.0,3944.0,10505.0,Open-source simulator for autonomous driving research.,185.0,37,True,2023-11-14 22:51:02.000,0.9.15,26.0,carla,,,,,698.0,691.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,7.0,12746.0,12746.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +90,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2024-04-25 14:14:23.000000,2024-04-24 23:40:16,6384.0,310.0,2070.0,185.0,6338.0,126.0,1989.0,10064.0,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal,..",308.0,37,True,2024-02-28 06:18:16.000,1.23.0,72.0,nemo-toolkit,,,,['pytorch'],31.0,21.0,https://pypi.org/project/nemo-toolkit,2024-02-28 05:27:18.000,10.0,58806.0,61666.0,,,,,,,,1.0,157307.0,,,,,,,,,,,,,,,,,,, +91,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2024-04-24 18:24:46.000000,2024-04-23 07:04:07,1424.0,241.0,1784.0,133.0,190.0,2.0,1016.0,9990.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",60.0,37,True,2024-04-16 21:08:09.000,0.0.90,89.0,deepface,,,,,2997.0,2975.0,https://pypi.org/project/deepface,2024-04-16 21:04:33.000,22.0,63388.0,63388.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +92,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2024-04-14 16:26:12.000000,2024-04-14 16:26:05,945.0,28.0,1096.0,123.0,281.0,36.0,694.0,9478.0,Unsupervised text tokenizer for Neural Network-based text generation.,84.0,37,True,2024-02-19 17:03:42.000,0.2.0,35.0,sentencepiece,conda-forge/sentencepiece,,,,63531.0,62515.0,https://pypi.org/project/sentencepiece,2024-02-19 17:03:42.000,1016.0,21652418.0,21669930.0,https://anaconda.org/conda-forge/sentencepiece,2024-03-19 05:24:18.341,764092.0,,,,,1.0,36250.0,,,,,,,,,,,,,,,,,,, +93,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2024-04-23 10:58:06.000000,2024-04-21 17:01:26,580.0,17.0,1139.0,263.0,171.0,109.0,167.0,8940.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",37.0,37,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,39378.0,37924.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000,1454.0,966258.0,968930.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,245848.0,,,,,1.0,117.0,,,,,,,,,,,,,,,,,,, +94,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2024-04-25 02:27:45.000000,2024-04-24 11:37:05,21174.0,535.0,2074.0,177.0,3273.0,292.0,2065.0,7875.0,End-to-End Speech Processing Toolkit.,420.0,37,True,2024-02-06 03:28:17.000,.202402,52.0,espnet,,,,,316.0,310.0,https://pypi.org/project/espnet,2024-02-06 03:28:41.000,6.0,53475.0,53476.0,,,,,,,,1.0,79.0,,,,,,,,,,,,,,,,,,, +95,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2024-04-24 20:13:28.000000,2024-04-24 19:17:07,10460.0,343.0,1613.0,147.0,2282.0,580.0,1233.0,5119.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",240.0,37,True,2024-04-03 16:21:23.000,2.8.0,850.0,deepchem,conda-forge/deepchem,,,['tensorflow'],361.0,348.0,https://pypi.org/project/deepchem,2024-04-24 20:13:28.000,13.0,25551.0,27850.0,https://anaconda.org/conda-forge/deepchem,2024-04-05 16:46:45.105,105777.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +96,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2024-04-11 21:00:12.000000,2024-04-11 21:00:11,12131.0,77.0,1074.0,163.0,463.0,669.0,746.0,4132.0,Probabilistic reasoning and statistical analysis in TensorFlow.,489.0,37,True,2024-03-12 19:43:46.000,0.24.0,52.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],471.0,,https://pypi.org/project/tensorflow-probability,2024-03-12 19:43:39.000,471.0,3264479.0,3267751.0,https://anaconda.org/conda-forge/tensorflow-probability,2024-01-09 01:12:57.968,124359.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +97,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2024-04-25 13:55:54.000000,2024-04-22 01:43:18,3993.0,109.0,1067.0,151.0,1622.0,393.0,877.0,3670.0,Fast data visualization and GUI tools for scientific / engineering applications.,279.0,37,True,2024-04-22 01:35:36.000,0.13.6,24.0,pyqtgraph,conda-forge/pyqtgraph,,,,10307.0,9298.0,https://pypi.org/project/pyqtgraph,2024-04-22 01:35:36.000,1009.0,221685.0,233069.0,https://anaconda.org/conda-forge/pyqtgraph,2024-04-22 12:12:16.506,523691.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +98,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2024-04-24 15:00:49.000000,2024-04-23 12:05:30,10743.0,50.0,393.0,59.0,2967.0,1086.0,2166.0,2623.0,"With Holoviews, your data visualizes itself.",140.0,37,True,2024-03-22 00:10:16.630,3.0.2,160.0,holoviews,conda-forge/holoviews,,,['jupyter'],10443.0,10149.0,https://pypi.org/project/holoviews,2024-04-23 15:48:47.000,291.0,385372.0,419444.0,https://anaconda.org/conda-forge/holoviews,2024-02-12 17:18:29.765,1553895.0,,,,,2.0,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2024-03-22 00:10:16.630,3.0,292.0,,,,,,,,,,, +99,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2024-04-20 05:25:23.000000,2024-04-18 14:49:02,3846.0,24.0,521.0,147.0,1154.0,142.0,1637.0,2138.0,Rasterio reads and writes geospatial raster datasets.,156.0,37,True,2024-04-12 18:29:54.000,1.3.10,157.0,rasterio,conda-forge/rasterio,,,,12306.0,11168.0,https://pypi.org/project/rasterio,2024-04-16 21:46:35.000,1138.0,2777969.0,2852535.0,https://anaconda.org/conda-forge/rasterio,2024-04-13 12:29:45.854,2907776.0,,,,,2.0,856.0,,,,,,,,,,,,,,,,,,, +100,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2024-04-25 15:02:41.000000,2024-04-25 14:53:42,1389.0,120.0,426.0,60.0,1337.0,154.0,664.0,1679.0,The official Python client for the Huggingface Hub.,161.0,37,True,2024-03-29 12:06:45.000,0.22.2,106.0,huggingface_hub,conda-forge/huggingface_hub,,,,792.0,,https://pypi.org/project/huggingface_hub,2024-03-29 11:58:22.000,792.0,33476194.0,33520508.0,https://anaconda.org/conda-forge/huggingface_hub,2024-04-01 15:52:56.313,1683940.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +101,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2024-04-08 21:04:04.101000,2024-03-21 08:08:33,1233.0,22.0,208.0,32.0,47.0,12.0,164.0,1567.0,Simple Python interface for Graphviz.,23.0,37,True,2024-03-21 07:50:43.000,0.20.3,58.0,graphviz,anaconda/python-graphviz,,,,67969.0,64374.0,https://pypi.org/project/graphviz,2024-03-21 07:50:43.000,3595.0,10263264.0,10263792.0,https://anaconda.org/anaconda/python-graphviz,2024-04-08 21:04:04.101,44394.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +102,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2024-04-22 04:44:13.491000,2024-04-22 02:22:27,1526.0,7.0,281.0,31.0,482.0,102.0,493.0,1410.0,Python library for reading and writing image data.,111.0,37,True,2024-04-22 02:22:40.000,2.34.1,91.0,imageio,conda-forge/imageio,,,,126901.0,123679.0,https://pypi.org/project/imageio,2024-04-22 02:22:35.000,3222.0,21669051.0,21807904.0,https://anaconda.org/conda-forge/imageio,2024-04-22 04:44:13.491,6247735.0,,,,,2.0,1038.0,,,,,,,,,,,,,,,,,,, +103,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2024-04-25 05:16:18.000000,2024-04-23 15:31:31,1515.0,35.0,199.0,47.0,557.0,32.0,756.0,1124.0,Fiona reads and writes geographic data files.,72.0,37,True,2024-03-08 16:14:09.000,1.9.6,112.0,fiona,conda-forge/fiona,,,,19555.0,19446.0,https://pypi.org/project/fiona,2024-04-16 20:38:29.000,109.0,6599973.0,6720297.0,https://anaconda.org/conda-forge/fiona,2024-03-08 21:09:14.732,5414594.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +104,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2024-04-25 14:49:08.000000,2024-04-25 10:37:10,10278.0,74.0,546.0,68.0,2391.0,296.0,1760.0,1107.0,Machine learning for NeuroImaging in Python.,235.0,37,True,2024-04-09 09:15:50.000,0.10.4,47.0,nilearn,conda-forge/nilearn,,,['sklearn'],3387.0,3081.0,https://pypi.org/project/nilearn,2024-04-09 09:09:58.000,306.0,64814.0,71293.0,https://anaconda.org/conda-forge/nilearn,2024-04-09 13:18:52.622,265509.0,,,,,1.0,159.0,,,,,,,,,,,,,,,,,,, +105,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2024-03-27 09:20:02.000000,2024-03-03 06:50:21,1649.0,2.0,2825.0,379.0,458.0,13.0,1841.0,14448.0,Python Echarts Plotting Library.,42.0,36,True,2024-03-03 07:03:55.000,2.0.5,73.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],4299.0,4047.0,https://pypi.org/project/pyecharts,2024-03-03 07:02:08.000,252.0,163985.0,163987.0,,,,,,,,2.0,32.0,,,,,,,,,,,,,,,,,,, +106,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2024-04-06 08:14:32.000000,2020-06-01 14:58:26,2913.0,,2425.0,233.0,338.0,295.0,224.0,14152.0,Image augmentation for machine learning experiments.,36.0,36,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,19867.0,19424.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,443.0,395462.0,398117.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,153991.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +107,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2024-04-25 15:12:59.000000,2024-04-25 13:48:46,28780.0,2341.0,1976.0,199.0,5287.0,27.0,3377.0,9253.0,Perform data science on data that remains in someone elses server.,509.0,36,True,2024-04-03 12:17:16.000,0.8.6,276.0,syft,,,,['pytorch'],6.0,1.0,https://pypi.org/project/syft,2024-04-25 04:51:15.000,5.0,7807.0,8057.0,,,,,,,,1.0,2500.0,,,,,,,,,,,,,,,,,,, +108,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2024-04-18 14:27:08.000000,2024-04-16 13:07:23,539.0,52.0,2344.0,283.0,150.0,314.0,316.0,8041.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",50.0,36,True,2024-03-30 15:23:07.000,3.10.3,58.0,SpeechRecognition,conda-forge/speechrecognition,,,,891.0,21.0,https://pypi.org/project/SpeechRecognition,2024-03-30 15:23:07.000,870.0,759098.0,763180.0,https://anaconda.org/conda-forge/speechrecognition,2024-03-30 17:20:06.402,179639.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +109,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2024-04-01 18:07:01.000000,2024-04-01 11:19:59,863.0,8.0,1268.0,141.0,499.0,39.0,554.0,6695.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,84.0,36,True,2024-03-31 19:38:20.000,0.12.2,36.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],26845.0,26468.0,https://pypi.org/project/imbalanced-learn,2024-03-31 19:27:16.000,377.0,10655924.0,10667885.0,https://anaconda.org/conda-forge/imbalanced-learn,2024-03-31 19:50:51.503,550250.0,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,, +110,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2024-04-25 12:19:46.000000,2024-04-25 12:19:46,3054.0,335.0,737.0,72.0,3418.0,227.0,810.0,6537.0,"The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference..",197.0,36,True,2024-04-19 10:29:47.000,1.2.12,143.0,bentoml,,,,,1757.0,1743.0,https://pypi.org/project/bentoml,2024-04-19 10:29:47.000,14.0,66913.0,66944.0,,,,,,,,2.0,1690.0,,,,,,,,,,,,,,,,,,, +111,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2024-03-26 12:38:19.000000,2023-12-31 11:04:55,953.0,,826.0,87.0,203.0,99.0,657.0,4169.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",48.0,36,True,2023-12-31 11:17:16.000,80,72.0,opencv-python,,,,,394320.0,381991.0,https://pypi.org/project/opencv-python,2023-12-31 13:34:00.000,12329.0,13549470.0,13549470.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +112,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2024-04-25 11:36:32.000000,2024-04-25 11:18:35,2330.0,164.0,206.0,64.0,132.0,71.0,556.0,3824.0,A Grammar of Graphics for Python.,106.0,36,True,2024-04-03 14:18:06.000,0.13.4,25.0,plotnine,conda-forge/plotnine,,,,7684.0,7406.0,https://pypi.org/project/plotnine,2024-04-03 12:30:00.000,278.0,3019017.0,3026671.0,https://anaconda.org/conda-forge/plotnine,2024-04-12 10:36:40.559,352107.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +113,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2024-04-24 17:56:58.000000,2024-04-05 17:23:34,8511.0,73.0,698.0,100.0,13179.0,52.0,828.0,3687.0,State of the Art Natural Language Processing.,112.0,36,True,2024-04-05 17:44:10.000,5.3.3,141.0,spark-nlp,,,,['spark'],449.0,416.0,https://pypi.org/project/spark-nlp,2024-04-05 16:57:09.000,33.0,4048135.0,4048135.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +114,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2024-04-23 07:20:48.000000,2024-04-23 07:20:16,5324.0,13.0,275.0,78.0,789.0,18.0,124.0,2789.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",63.0,36,True,2024-04-19 11:40:18.000,9.0.0,234.0,thinc,conda-forge/thinc,,,,46544.0,45896.0,https://pypi.org/project/thinc,2024-04-19 11:39:47.000,648.0,8451180.0,8509674.0,https://anaconda.org/conda-forge/thinc,2023-12-29 09:50:56.118,2749246.0,,,,,2.0,,,2.0,,,,,,,,,,,,,,,,, +115,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2024-04-25 12:35:33.000000,2024-04-25 12:35:14,4314.0,253.0,424.0,35.0,3174.0,520.0,1062.0,2359.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,159.0,36,True,2024-04-03 22:09:29.000,0.43.5,91.0,pyvista,conda-forge/pyvista,,,['jupyter'],3153.0,2869.0,https://pypi.org/project/pyvista,2024-04-03 22:09:29.000,284.0,208348.0,218403.0,https://anaconda.org/conda-forge/pyvista,2024-04-07 22:33:34.572,462079.0,,,,,2.0,795.0,,,,,,,,,,,,,,,,,,, +116,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2024-04-25 15:25:33.000000,2024-04-25 14:28:17,4114.0,240.0,534.0,45.0,4396.0,291.0,951.0,2114.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,166.0,36,True,2024-03-11 22:26:17.000,0.35.1,56.0,pennylane,conda-forge/pennylane,,,,926.0,851.0,https://pypi.org/project/pennylane,2024-03-11 22:26:17.000,75.0,61148.0,62555.0,https://anaconda.org/conda-forge/pennylane,2024-03-19 12:55:56.428,40797.0,,,,,1.0,77.0,,,,,,,,,,,,,,,,,,, +117,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2024-04-24 12:45:18.000000,2024-04-24 12:45:17,1765.0,134.0,374.0,26.0,1484.0,70.0,742.0,1921.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",238.0,36,True,2024-03-18 12:39:22.000,1.3.2,44.0,metrics,conda-forge/torchmetrics,,,['pytorch'],23714.0,23701.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,13.0,3645.0,39004.0,https://anaconda.org/conda-forge/torchmetrics,2024-03-18 14:59:09.500,1303252.0,,,,,2.0,5068.0,,,Lightning-AI/torchmetrics,,,,,,,,,,,,,,,, +118,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2024-04-21 15:11:56.000000,2024-04-08 14:41:27,1540.0,18.0,371.0,47.0,1489.0,173.0,678.0,1528.0,Exploratory analysis of Bayesian models with Python.,156.0,36,True,2024-04-05 08:50:12.000,0.18.0,37.0,arviz,conda-forge/arviz,,,,6493.0,6311.0,https://pypi.org/project/arviz,2024-04-05 08:50:12.000,182.0,2098520.0,2143270.0,https://anaconda.org/conda-forge/arviz,2024-04-08 15:25:03.090,2103169.0,,,,,1.0,134.0,,,,,,,,,,,,,,,,,,, +119,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2024-04-25 14:41:49.000000,2024-04-14 16:42:00,5851.0,85.0,257.0,37.0,804.0,128.0,402.0,624.0,Python package to access a cacophony of neuro-imaging file formats.,104.0,36,True,2024-02-27 04:17:30.000,5.2.1,42.0,nibabel,conda-forge/nibabel,,,,19660.0,18424.0,https://pypi.org/project/nibabel,2024-02-27 04:13:17.000,1236.0,484853.0,499983.0,https://anaconda.org/conda-forge/nibabel,2024-02-27 14:41:50.570,696005.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +120,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2024-04-23 08:56:13.000000,2024-03-13 13:24:17,2322.0,2.0,6232.0,420.0,1336.0,1230.0,3041.0,29251.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,425.0,35,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],3099.0,3022.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,77.0,288396.0,289807.0,https://anaconda.org/conda-forge/fairseq,2023-12-03 20:00:06.516,63318.0,,,,,2.0,331.0,,-1.0,,,,,,,,,,,,,,,,, +121,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2024-04-17 14:11:28.000000,2024-02-10 14:20:58,4668.0,1.0,3408.0,259.0,725.0,73.0,952.0,29212.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",164.0,35,True,2023-12-12 15:27:06.000,0.22.0,98.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",1168.0,1138.0,https://pypi.org/project/tts,2023-12-12 15:27:06.000,30.0,116699.0,174455.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,10962.0,,,,,2.0,2123471.0,,,,,,,,,,,,,,,,,,, +122,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2024-03-27 11:25:38.000000,2023-09-04 11:42:16,615.0,,2932.0,303.0,246.0,377.0,588.0,21934.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",128.0,35,True,2023-09-04 11:55:27.000,1.7.1,32.0,easyocr,,,,,6147.0,6028.0,https://pypi.org/project/easyocr,2023-09-04 11:55:27.000,119.0,234502.0,462639.0,,,,,,,,1.0,10494321.0,,,,,,,,,,,,,,,,,,, +123,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2024-04-16 17:01:38.000000,2024-04-16 17:01:38,2284.0,1.0,5141.0,499.0,154.0,1072.0,1355.0,21265.0,State-of-the-art 2D and 3D Face Analysis Project.,58.0,35,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],2027.0,2014.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,13.0,403702.0,644778.0,,,,,,,,2.0,2892919.0,,,,,,,,,,,,,,,,,,, +124,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2024-04-24 19:01:00.000000,2021-06-01 10:43:00,1848.0,,4403.0,546.0,716.0,402.0,1270.0,13892.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,35,False,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,6049.0,5696.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,353.0,31458.0,31458.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +125,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2024-02-06 22:23:52.000000,2023-08-20 17:38:53,890.0,,1124.0,319.0,267.0,54.0,343.0,12697.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,35,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,4077.0,3786.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,291.0,1199761.0,1209026.0,https://anaconda.org/conda-forge/python-annoy,2023-09-25 04:57:08.085,398407.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +126,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2245.0,279.0,3096.0,91.0,2477.0,11692.0,"An open-source NLP research library, built on PyTorch.",266.0,35,False,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],4225.0,4035.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,190.0,49185.0,51101.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,122650.0,,,,,2.0,62.0,,,,,,,,,,,,,,,,,,, +127,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2024-03-19 22:44:23.623000,2023-12-09 05:39:53,576.0,,2300.0,220.0,245.0,119.0,416.0,9944.0,A little word cloud generator in Python.,72.0,35,True,2023-12-09 14:04:35.000,1.9.3,20.0,wordcloud,conda-forge/wordcloud,,,,877.0,21.0,https://pypi.org/project/wordcloud,2023-12-09 14:04:35.000,856.0,1726553.0,1736973.0,https://anaconda.org/conda-forge/wordcloud,2024-03-19 22:44:23.623,468915.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +128,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2024-04-25 13:51:29.000000,2024-04-22 23:01:37,2591.0,107.0,618.0,101.0,465.0,555.0,1227.0,8933.0,An open source multi-tool for exploring and publishing data.,78.0,35,True,2023-12-22 23:22:42.000,0.64.6,147.0,datasette,conda-forge/datasette,,,,1469.0,1236.0,https://pypi.org/project/datasette,2024-03-13 02:20:24.000,233.0,45478.0,46375.0,https://anaconda.org/conda-forge/datasette,2024-01-03 22:47:34.900,32289.0,,,,,2.0,64.0,,,,,,,,,datasette,,,,,,,,,, +129,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2024-04-24 17:32:00.000000,2024-04-11 15:43:27,10412.0,10.0,1965.0,349.0,3423.0,143.0,1134.0,8401.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,336.0,35,True,2023-07-19 17:15:55.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,35.0,,https://pypi.org/project/vowpalwabbit,2023-07-19 17:15:55.000,35.0,124176.0,127665.0,https://anaconda.org/conda-forge/vowpalwabbit,2024-03-26 18:31:32.556,146543.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +130,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2024-04-05 17:29:20.000000,2022-12-08 17:49:19,746.0,,987.0,135.0,228.0,342.0,272.0,8341.0,Manipulate audio with a simple and easy high level interface.,95.0,35,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,56654.0,55259.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1395.0,4532753.0,4534146.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,89171.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +131,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2024-04-25 06:46:28.000000,2024-04-20 16:29:42,4447.0,195.0,872.0,141.0,483.0,100.0,785.0,7047.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",68.0,35,True,2024-04-20 18:58:25.000,1.8.2,25.0,stanza,stanfordnlp/stanza,,,,2780.0,2681.0,https://pypi.org/project/stanza,2024-04-20 18:57:48.000,99.0,190756.0,190907.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7404.0,,,,,2.0,,,1.0,,,,,,,,,,,,,,,,, +132,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2024-04-25 15:49:06.000000,2024-04-24 04:37:15,32426.0,96.0,1980.0,383.0,6806.0,2734.0,6588.0,6730.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",264.0,35,True,,,151.0,h2o,,,,,106.0,21.0,https://pypi.org/project/h2o,2024-03-14 11:02:05.000,85.0,351310.0,351310.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +133,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2024-04-25 15:46:29.000000,2024-04-25 15:26:49,19995.0,792.0,487.0,51.0,2873.0,487.0,1002.0,6665.0,"Visualize, create, and debug image and video datasets and model predictions.",119.0,35,True,2024-04-15 21:52:17.000,0.23.8,142.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",559.0,547.0,https://pypi.org/project/fiftyone,2024-04-15 21:52:17.000,12.0,66478.0,66478.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +134,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2024-04-22 09:35:44.000000,2024-03-18 16:03:25,2890.0,17.0,2225.0,175.0,1146.0,28.0,1419.0,6567.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,191.0,35,True,2024-03-18 14:02:12.000,3.5.1,50.0,OpenNMT-py,,,,['pytorch'],285.0,267.0,https://pypi.org/project/OpenNMT-py,2024-03-18 14:02:12.000,18.0,12633.0,12633.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +135,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2024-04-25 13:33:34.000000,2024-04-25 03:10:30,3017.0,75.0,968.0,89.0,3316.0,324.0,2643.0,5314.0,AI Toolkit for Healthcare Imaging.,186.0,35,True,2023-10-12 17:37:33.000,1.3.0,82.0,monai,conda-forge/monai,,,['pytorch'],2187.0,2131.0,https://pypi.org/project/monai,2024-04-19 06:54:28.000,56.0,163720.0,164526.0,https://anaconda.org/conda-forge/monai,2023-10-12 17:35:33.024,22590.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +136,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2024-02-28 17:12:19.096000,2023-11-23 21:41:49,1136.0,,661.0,89.0,269.0,32.0,252.0,4276.0,Geocoding library for Python.,133.0,35,True,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,,4117.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,4117.0,5118944.0,5147190.0,https://anaconda.org/conda-forge/geopy,2024-02-28 17:12:19.096,1299319.0,,,,,2.0,38.0,,,,,,,,,,,,,,,,,,, +137,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2024-04-25 01:21:09.000000,2024-04-24 23:55:37,3747.0,98.0,805.0,58.0,1537.0,365.0,1239.0,3980.0,"Serve, optimize and scale PyTorch models in production.",190.0,35,True,2024-03-15 00:03:31.000,0.10.0,23.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],656.0,640.0,https://pypi.org/project/torchserve,2024-03-14 21:47:35.000,16.0,50338.0,77063.0,https://anaconda.org/pytorch/torchserve,2024-03-14 21:47:30.323,170653.0,https://hub.docker.com/r/pytorch/torchserve,2024-03-14 22:46:13.511478,25.0,1244864.0,2.0,5647.0,,,,,,,,,,,,,,,,,,, +138,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2024-04-25 11:39:10.000000,2024-04-24 22:56:36,1309.0,13.0,810.0,282.0,1466.0,324.0,516.0,3442.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",155.0,35,True,2024-04-24 16:20:45.000,0.18.0,34.0,torchtext,,,,['pytorch'],502.0,,https://pypi.org/project/torchtext,2024-04-24 15:49:45.000,502.0,607499.0,607499.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +139,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2024-04-08 16:26:58.000000,2024-04-08 16:26:55,1182.0,5.0,1674.0,150.0,210.0,6.0,690.0,3438.0,A library for transfer learning by reusing parts of TensorFlow models.,106.0,35,True,2024-01-30 15:53:29.000,0.16.1,20.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],345.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,345.0,3846124.0,3848290.0,https://anaconda.org/conda-forge/tensorflow-hub,2024-01-30 18:21:57.617,95323.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +140,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2024-04-17 14:03:11.000000,2024-04-17 14:03:11,7374.0,22.0,609.0,116.0,1163.0,349.0,1109.0,3217.0,High-performance interactive 2D/3D data visualization library.,194.0,35,True,2024-03-14 16:50:16.000,0.14.2,38.0,vispy,conda-forge/vispy,,,['jupyter'],1640.0,1490.0,https://pypi.org/project/vispy,2024-03-14 16:13:05.000,148.0,90149.0,101150.0,https://anaconda.org/conda-forge/vispy,2024-03-15 02:52:28.032,472634.0,,,,,2.0,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,2.0,10.0,,,,,,,,,,, +141,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2024-03-26 18:33:29.000000,2024-02-11 16:39:29,1856.0,7.0,199.0,32.0,212.0,22.0,397.0,1356.0,The ctypes-based simple ImageMagick binding for Python.,104.0,35,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,,19465.0,18742.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,723.0,836212.0,837645.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,41227.0,,,,,2.0,45356.0,,,,,,,,,,,,,,,,,,, +142,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2024-04-25 09:43:46.000000,2024-04-12 12:46:25,3015.0,65.0,359.0,55.0,1153.0,306.0,951.0,1354.0,Cartopy - a cartographic python library with matplotlib support.,125.0,35,True,2024-04-10 17:52:06.000,0.23.0,30.0,cartopy,conda-forge/cartopy,,,,5289.0,4786.0,https://pypi.org/project/cartopy,2024-04-10 17:52:06.000,503.0,215128.0,289588.0,https://anaconda.org/conda-forge/cartopy,2024-04-11 10:31:26.888,3499643.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +143,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/intel/scikit-learn-intelex,https://github.com/intel/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2024-04-25 14:56:01.000000,2024-04-23 15:22:27,1650.0,101.0,167.0,30.0,1543.0,72.0,177.0,1160.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,78.0,35,True,2024-04-11 16:14:44.000,2024.3.0,26.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],10460.0,10433.0,https://pypi.org/project/scikit-learn-intelex,2024-04-11 13:19:45.000,27.0,139163.0,146204.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2024-04-19 14:33:00.666,253489.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +144,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2024-04-20 13:18:07.000000,2024-04-20 13:16:16,1546.0,18.0,211.0,34.0,686.0,31.0,572.0,989.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,65.0,35,True,2023-09-21 02:07:12.000,3.6.1,61.0,pyproj,conda-forge/pyproj,,,,31350.0,29220.0,https://pypi.org/project/pyproj,2023-09-21 02:07:12.000,2130.0,8943673.0,9109420.0,https://anaconda.org/conda-forge/pyproj,2023-12-08 10:35:21.072,7458634.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +145,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2024-04-19 15:14:49.000000,2024-03-22 00:49:10,14865.0,60.0,506.0,51.0,2289.0,394.0,959.0,731.0,Workflows and interfaces for neuroimaging packages.,256.0,35,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,4450.0,4271.0,https://pypi.org/project/nipype,2023-04-06 12:55:55.544,179.0,147980.0,161654.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,601695.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +146,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2024-04-25 10:19:48.000000,2024-04-24 16:55:33,1512.0,14.0,7269.0,384.0,656.0,465.0,3050.0,28706.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",267.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1741.0,1735.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,6.0,,5288.0,https://anaconda.org/conda-forge/detectron2,2024-01-18 08:57:46.349,237981.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +147,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2024-04-25 02:21:58.000000,2024-04-25 02:06:34,7894.0,336.0,2658.0,295.0,193.0,28.0,1046.0,26095.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,34,True,2024-04-20 01:57:28.000,7.6.1,638.0,netron,,,,"['pytorch', 'tensorflow']",87.0,12.0,https://pypi.org/project/netron,2024-04-20 01:57:28.000,75.0,25568.0,156693.0,,,,,,,,1.0,131125.0,,,,,,,,,,,,,,,,,,, +148,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2024-03-22 21:40:44.000000,2024-03-13 15:16:33,391.0,2.0,4735.0,845.0,268.0,550.0,611.0,25567.0,Library for fast text representation and classification.,68.0,34,True,2020-04-28 09:54:50.000,0.9.2,36.0,fasttext,conda-forge/fasttext,,,,6090.0,5857.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,233.0,1159034.0,1160828.0,https://anaconda.org/conda-forge/fasttext,2023-09-26 23:15:16.887,77182.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +149,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2024-02-18 05:01:17.000000,2021-11-17 17:52:52,3466.0,,3875.0,663.0,1674.0,143.0,1985.0,24280.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,34,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],456.0,413.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,43.0,7541.0,24497.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2623.0,,,,,2.0,1130779.0,,,,,,,,,,,,,,,,,,, +150,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,libpng-2.0,2018-08-02 17:56:45.000,2024-04-25 13:53:48.000000,2024-04-25 10:38:30,17921.0,989.0,2683.0,378.0,4904.0,436.0,3396.0,21265.0,The platform for customizing AI from enterprise data.,825.0,34,False,2024-04-15 13:43:59.000,24.4.3.0,462.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2024-04-15 13:45:13.000,,18700.0,18700.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +151,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2024-04-23 12:27:23.000000,2024-04-05 18:42:52,8866.0,65.0,2975.0,270.0,1239.0,168.0,666.0,17972.0,Best Practices on Recommendation Systems.,131.0,34,True,2022-07-20 05:58:55.000,1.1.1,12.0,recommenders,,,,,110.0,108.0,https://pypi.org/project/recommenders,2022-04-01 08:49:49.000,2.0,33226.0,33233.0,,,,,,,,1.0,470.0,,,recommenders-team/recommenders,,,,,,,,,,,,,,,, +152,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2024-04-04 11:05:28.000000,2023-10-18 07:33:05,791.0,,4457.0,437.0,441.0,388.0,1726.0,17744.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,173.0,34,True,2023-10-10 12:57:04.000,1.1.5,16.0,fbprophet,conda-forge/prophet,,,,150.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,129.0,820977.0,853060.0,https://anaconda.org/conda-forge/prophet,2023-10-20 01:36:39.935,1153962.0,,,,,1.0,2484.0,,,,,,,,,,,,,,,,,,, +153,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2024-04-25 12:04:58.000000,2024-04-25 12:04:57,18245.0,690.0,5878.0,71.0,11668.0,1030.0,15916.0,14022.0,The Unified AI Framework.,1471.0,34,True,2023-06-29 19:33:01.167,0.0.0,116.0,ivy,,,,,9.0,,https://pypi.org/project/ivy,2024-03-15 11:49:07.000,9.0,993.0,993.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +154,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2024-03-27 20:19:41.000000,2024-03-25 12:37:43,1333.0,1.0,2229.0,334.0,1588.0,372.0,1857.0,13950.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",172.0,34,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1170.0,1133.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,37.0,57877.0,57877.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,, +155,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2024-04-22 22:30:38.000000,2024-04-18 04:59:38,3848.0,35.0,1163.0,192.0,2852.0,365.0,756.0,10802.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",154.0,34,True,2024-04-08 23:26:12.000,0.10.3,55.0,ludwig,,,,['tensorflow'],256.0,247.0,https://pypi.org/project/ludwig,2024-04-08 23:26:12.000,9.0,4859.0,4859.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +156,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2024-04-23 13:25:01.000000,2024-04-23 13:25:01,2468.0,29.0,986.0,201.0,2297.0,249.0,838.0,8363.0,Deep universal probabilistic programming with Python and PyTorch.,154.0,34,True,2024-02-19 18:03:28.000,1.9.0,35.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],116.0,,https://pypi.org/project/pyro-ppl,2024-02-19 18:03:28.000,116.0,275792.0,280037.0,https://anaconda.org/conda-forge/pyro-ppl,2024-02-20 17:06:11.848,157094.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +157,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2024-04-01 13:06:05.000000,2023-11-16 08:43:39,1418.0,,872.0,219.0,221.0,174.0,233.0,6791.0,Efficiently computes derivatives of numpy code.,56.0,34,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,8262.0,7934.0,https://pypi.org/project/autograd,2023-06-23 08:37:07.368,328.0,1373817.0,1392729.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,416065.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +158,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2024-04-10 10:37:11.000000,2024-04-03 20:11:11,3271.0,10.0,914.0,137.0,651.0,53.0,1128.0,6682.0,Python library for audio and music analysis.,120.0,34,True,2023-08-16 13:52:19.000,0.10.1,41.0,librosa,conda-forge/librosa,,,,1615.0,,https://pypi.org/project/librosa,2023-08-16 13:52:19.000,1615.0,2617202.0,2633498.0,https://anaconda.org/conda-forge/librosa,2023-08-16 18:07:49.183,733344.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +159,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/ipex-llm,https://github.com/intel-analytics/ipex-llm,Apache-2.0,2016-08-29 07:59:50.000,2024-04-25 12:21:56.000000,2024-04-25 12:21:56,2694.0,632.0,1198.0,243.0,8654.0,793.0,1432.0,5941.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel..",99.0,34,True,2023-11-13 02:02:20.000,2.4.0,869.0,bigdl,,,,,56.0,51.0,https://pypi.org/project/bigdl,2024-03-24 14:04:20.000,1.0,6231.0,6236.0,,,,,,,,2.0,442.0,,,intel-analytics/ipex-llm,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,4.0,,, +160,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2024-04-25 09:28:53.000000,2024-04-25 09:28:49,2343.0,61.0,626.0,95.0,255.0,447.0,537.0,5246.0,"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline,..",94.0,34,True,2024-04-09 16:24:23.000,1.15.1,159.0,clearml,,allegroai/trains,,,1072.0,1054.0,https://pypi.org/project/clearml,2024-04-09 16:23:34.000,18.0,310847.0,311409.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30238.0,2.0,2421.0,,,,,,,,,,,,,,,,,,, +161,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2024-04-25 13:58:52.000000,2024-04-22 21:06:02,29826.0,310.0,1564.0,182.0,2095.0,35.0,1586.0,4802.0,"mlpack: a fast, header-only C++ machine learning library.",314.0,34,True,2023-12-12 00:54:05.000,4.3.0,46.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2024-04-10 13:40:15.000,1.0,4973.0,8740.0,https://anaconda.org/conda-forge/mlpack,2023-11-29 00:35:31.566,173307.0,,,,,2.0,,,1.0,,,,,,,,,,,,,,,,, +162,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2024-03-31 13:12:23.000000,2024-03-31 13:12:23,1645.0,8.0,839.0,118.0,527.0,145.0,340.0,4761.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,106.0,34,True,2024-01-05 09:13:47.000,0.23.1,52.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],13263.0,13070.0,https://pypi.org/project/mlxtend,2024-01-05 09:13:47.000,193.0,724898.0,731614.0,https://anaconda.org/conda-forge/mlxtend,2024-01-05 18:58:45.309,302248.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +163,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2024-04-25 12:03:29.000000,2024-04-24 13:33:30,1689.0,35.0,606.0,60.0,1837.0,156.0,1258.0,4455.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,488.0,34,True,2024-04-01 10:35:11.000,0.5.0.post2,1600.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],2870.0,2817.0,https://pypi.org/project/pytorch-ignite,2024-04-25 00:14:23.000,53.0,185659.0,188230.0,https://anaconda.org/pytorch/ignite,2024-04-01 12:32:01.049,179985.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +164,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2024-04-23 13:22:12.000000,2024-04-20 14:10:54,12222.0,73.0,1105.0,102.0,1336.0,152.0,749.0,4455.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",135.0,34,True,2024-02-17 23:58:41.000,1.17.1,58.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,519.0,508.0,https://pypi.org/project/adversarial-robustness-toolbox,2024-02-17 23:56:02.000,11.0,27578.0,28411.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2024-02-18 02:39:29.665,37509.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +165,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2024-04-23 00:06:00.000000,2024-04-22 22:22:35,1148.0,24.0,591.0,116.0,869.0,305.0,1046.0,4058.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",165.0,34,True,2024-04-22 23:27:42.000,7.2,47.0,coremltools,conda-forge/coremltools,,,,3920.0,3740.0,https://pypi.org/project/coremltools,2024-04-23 00:06:00.000,180.0,233629.0,235054.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,54924.0,,,,,2.0,9323.0,,,,,,,,,,,,,,,,,,, +166,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2024-02-15 18:01:45.000000,2024-02-15 18:01:44,1293.0,3.0,2511.0,1968.0,533.0,386.0,1076.0,3956.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,34,True,2023-11-09 22:25:24.000,1.54.0,102.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,2024-02-06 19:36:25.000,48.0,633119.0,633127.0,,,,,,,,2.0,547.0,,,,,,,,,,,,,,,,,,, +167,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2024-04-24 23:20:54.000000,2024-04-24 23:17:29,1285.0,19.0,239.0,36.0,439.0,90.0,214.0,3556.0,Lightning fast forecasting with statistical and econometric models.,39.0,34,True,2024-04-08 16:44:34.000,1.7.4,32.0,statsforecast,conda-forge/statsforecast,,,,862.0,832.0,https://pypi.org/project/statsforecast,2024-04-08 16:44:34.000,30.0,538007.0,540554.0,https://anaconda.org/conda-forge/statsforecast,2024-04-08 20:04:06.356,63692.0,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,, +168,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2024-04-25 14:37:57.000000,2024-04-23 19:59:51,1848.0,72.0,363.0,53.0,1589.0,65.0,416.0,2953.0,Bayesian optimization in PyTorch.,111.0,34,True,2024-02-27 06:16:38.000,0.10.0,43.0,botorch,conda-forge/botorch,,,['pytorch'],1011.0,963.0,https://pypi.org/project/botorch,2024-02-27 06:16:38.000,48.0,129846.0,132205.0,https://anaconda.org/conda-forge/botorch,2024-02-27 09:02:55.942,103826.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +169,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2024-04-25 11:34:53.000000,2024-03-24 23:49:13,2305.0,7.0,627.0,73.0,2870.0,217.0,719.0,2379.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",225.0,34,True,2024-04-24 16:19:43.000,2.3.0,34.0,torchaudio,,,,['pytorch'],659.0,,https://pypi.org/project/torchaudio,2024-04-24 15:48:50.000,659.0,5960044.0,5960044.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +170,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2024-04-25 07:35:38.000000,2024-04-24 22:22:25,2992.0,189.0,287.0,68.0,1722.0,84.0,609.0,2271.0,Adaptive Experimentation Platform.,167.0,34,True,2024-03-01 16:28:08.000,0.3.7,40.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],732.0,703.0,https://pypi.org/project/ax-platform,2024-03-01 16:28:08.000,29.0,92237.0,92779.0,https://anaconda.org/conda-forge/ax-platform,2024-03-02 16:28:38.668,18447.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +171,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2024-04-25 13:15:35.000000,2024-04-25 13:15:34,1022.0,73.0,366.0,58.0,1177.0,333.0,395.0,2143.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,103.0,34,True,2024-04-24 12:35:53.000,1.19.1,62.0,optimum,conda-forge/optimum,,,,2293.0,2212.0,https://pypi.org/project/optimum,2024-04-24 12:07:57.000,81.0,996872.0,997410.0,https://anaconda.org/conda-forge/optimum,2024-04-16 18:11:45.829,12935.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +172,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2024-04-25 07:33:28.000000,2024-04-25 07:32:27,5151.0,127.0,511.0,19.0,1253.0,1038.0,630.0,2110.0,"This is the development home of the workflow management system Snakemake. For general information, see.",321.0,34,True,2024-04-25 07:33:28.000,8.11.0,331.0,snakemake,bioconda/snakemake,,,,2216.0,1947.0,https://pypi.org/project/snakemake,2024-04-25 07:33:28.000,269.0,138258.0,148332.0,https://anaconda.org/bioconda/snakemake,2024-04-23 13:31:25.626,1027583.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +173,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2024-04-24 16:44:44.000000,2024-04-24 16:43:22,4261.0,67.0,1070.0,153.0,1112.0,71.0,636.0,1764.0,Documentation and samples for ArcGIS API for Python.,91.0,34,True,2024-04-11 15:22:41.000,2.3.0,43.0,arcgis,,esridocker/arcgis-api-python-notebook,,,781.0,747.0,https://pypi.org/project/arcgis,2024-04-23 21:21:11.000,34.0,108203.0,108324.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,2.0,11057.0,,,,,,,,,,,,,,,,,,, +174,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2024-04-19 02:32:01.000000,2024-04-15 22:25:34,1519.0,1.0,612.0,57.0,1882.0,87.0,897.0,1681.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,34,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,,['tensorflow'],14701.0,14476.0,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,225.0,1080324.0,1080324.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +175,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2024-04-10 04:44:56.000000,2024-03-13 00:47:35,874.0,8.0,325.0,44.0,1019.0,161.0,168.0,1197.0,Making text a first-class citizen in TensorFlow.,113.0,34,True,2024-03-11 20:48:59.000,2.16.1,69.0,tensorflow-text,,,,['tensorflow'],6845.0,6705.0,https://pypi.org/project/tensorflow-text,2024-03-11 17:56:47.000,140.0,6755834.0,6755834.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +176,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2024-04-15 01:11:58.849000,2024-02-23 21:54:27,1531.0,7.0,153.0,41.0,132.0,8.0,640.0,1162.0,A Python data analysis library that is optimized for humans instead of machines.,52.0,34,True,2023-12-21 20:05:21.000,1.9.1,32.0,agate,conda-forge/agate,,,,3226.0,3077.0,https://pypi.org/project/agate,2023-12-21 20:05:21.000,149.0,6193430.0,6198323.0,https://anaconda.org/conda-forge/agate,2024-04-15 01:11:58.849,171280.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +177,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2024-02-24 12:51:59.000000,2022-06-10 09:12:18,238.0,,13280.0,1566.0,227.0,764.0,584.0,51761.0,The worlds simplest facial recognition api for Python and the command line.,54.0,33,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],89.0,21.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,68.0,251895.0,252381.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,20321.0,,,,,2.0,1230.0,,,,,,,,,,,,,,,,,,, +178,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2024-04-25 15:11:30.000000,2024-04-25 07:19:30,3069.0,105.0,4240.0,378.0,3846.0,415.0,1199.0,37866.0,"Making large AI models cheaper, faster and more accessible.",176.0,33,True,2024-03-07 15:38:25.000,0.3.6,36.0,,,,,,362.0,362.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +179,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2024-04-03 20:11:26.000000,2023-07-11 13:03:36,1421.0,,3770.0,755.0,1135.0,403.0,588.0,18930.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,33,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,,['tensorflow'],541.0,503.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,38.0,3580.0,3580.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +180,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2024-02-13 08:02:51.000000,2020-10-14 16:36:49,6226.0,,4630.0,1004.0,1869.0,362.0,658.0,17060.0,"Zipline, a Pythonic Algorithmic Trading Library.",161.0,33,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1075.0,989.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,86.0,2773.0,2949.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7573.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +181,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2024-03-07 11:44:47.000000,2023-10-26 05:31:53,3012.0,,1800.0,284.0,3504.0,379.0,1681.0,13740.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,33,True,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,662.0,624.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,38.0,17298.0,17298.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +182,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2024-04-24 21:46:06.000000,2024-04-24 21:46:05,3798.0,41.0,889.0,136.0,173.0,101.0,998.0,11980.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",96.0,33,True,2024-04-16 18:51:52.000,16.2.0,236.0,ocrmypdf,conda-forge/ocrmypdf,,,,813.0,792.0,https://pypi.org/project/ocrmypdf,2024-04-16 18:51:52.000,21.0,93258.0,95312.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,63364.0,,,,,2.0,3103.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +183,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2024-04-15 15:28:40.000000,2021-07-29 23:17:25,531.0,,1760.0,263.0,115.0,96.0,535.0,11282.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,5623.0,5442.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,181.0,377867.0,380167.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,202473.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +184,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2024-04-22 20:10:59.000000,2024-02-23 19:03:07,2440.0,6.0,1539.0,289.0,431.0,284.0,638.0,9500.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,121.0,33,False,2024-02-23 19:06:10.000,0.12.2,63.0,tpot,conda-forge/tpot,,,['sklearn'],2770.0,2708.0,https://pypi.org/project/tpot,2024-02-23 19:06:10.000,62.0,40322.0,45723.0,https://anaconda.org/conda-forge/tpot,2024-02-26 15:57:08.680,248462.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +185,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2023-06-16 13:22:53.603000,2021-09-09 20:54:41,384.0,,898.0,259.0,148.0,108.0,103.0,9117.0,Fuzzy String Matching in Python.,70.0,33,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,26053.0,23889.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,2164.0,7186237.0,7191924.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,528906.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +186,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2024-03-20 22:02:13.000000,2024-03-20 22:02:12,1391.0,4.0,1399.0,302.0,894.0,134.0,759.0,9066.0,AutoML library for deep learning.,143.0,33,True,2024-03-20 21:40:33.000,2.0.0,59.0,autokeras,,,,['tensorflow'],683.0,670.0,https://pypi.org/project/autokeras,2024-03-20 21:40:33.000,13.0,21058.0,21292.0,,,,,,,,1.0,18029.0,,,,,,,,,,,,,,,,,,, +187,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2024-04-22 14:56:32.000000,2024-03-16 17:36:36,1731.0,9.0,1310.0,148.0,209.0,196.0,145.0,7944.0,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,50.0,33,True,2024-02-09 06:52:05.000,1.1.3,91.0,pyod,conda-forge/pyod,,,,3654.0,3589.0,https://pypi.org/project/pyod,2024-02-09 06:50:32.000,65.0,737005.0,739015.0,https://anaconda.org/conda-forge/pyod,2024-02-09 07:53:55.073,94510.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +188,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2024-04-25 13:14:15.000000,2024-04-24 19:38:11,895.0,64.0,715.0,280.0,1189.0,309.0,367.0,7590.0,"Build and manage real-life ML, AI, and data science projects with ease!.",84.0,33,True,2024-04-12 11:08:43.000,2.11.10,117.0,metaflow,conda-forge/metaflow,,,,658.0,630.0,https://pypi.org/project/metaflow,2024-04-12 11:08:43.000,28.0,304940.0,308633.0,https://anaconda.org/conda-forge/metaflow,2024-04-13 09:30:30.809,166226.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +189,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2024-04-25 15:12:44.000000,2024-04-25 12:53:11,38641.0,446.0,829.0,146.0,9487.0,1106.0,5098.0,7278.0,cuDF - GPU DataFrame Library.,278.0,33,True,2024-04-10 15:05:51.000,24.04.00,48.0,cudf,,,,,64.0,53.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,11.0,2932.0,2932.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +190,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2024-04-25 08:59:25.000000,2024-04-18 07:43:41,1189.0,54.0,791.0,61.0,951.0,247.0,1163.0,7271.0,A python library for user-friendly forecasting and anomaly detection on time series.,115.0,33,True,2024-04-17 11:54:28.000,0.29.0,42.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,593.0,588.0,https://pypi.org/project/u8darts,2024-04-17 11:54:28.000,5.0,23728.0,24991.0,https://anaconda.org/conda-forge/u8darts-all,2024-04-18 00:03:59.716,41447.0,https://hub.docker.com/r/unit8/darts,2024-04-17 11:31:17.149896,,553.0,2.0,,,,,,,,,,,,,,,,,,,, +191,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2024-04-25 09:05:47.000000,2024-04-25 00:39:58,2194.0,106.0,842.0,98.0,2449.0,320.0,956.0,7128.0,Fast and Accurate ML in 3 Lines of Code.,120.0,33,True,2024-04-17 16:48:19.000,1.1.0,1463.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",675.0,666.0,https://pypi.org/project/autogluon,2024-04-25 09:05:47.000,9.0,84568.0,84698.0,,,,https://hub.docker.com/r/autogluon/autogluon,2024-03-07 07:21:23.461952,17.0,7439.0,1.0,,,,,,,,,,,,,,,,,,,, +192,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2024-04-15 18:05:40.000000,2024-04-02 22:34:33,1351.0,36.0,854.0,158.0,1696.0,177.0,824.0,7020.0,An open source python library for automated feature engineering.,72.0,33,True,2024-02-26 17:29:32.000,1.30.0,105.0,featuretools,conda-forge/featuretools,,,,1681.0,1603.0,https://pypi.org/project/featuretools,2024-02-26 17:29:32.000,78.0,50075.0,53984.0,https://anaconda.org/conda-forge/featuretools,2024-02-27 14:54:50.393,179843.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +193,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2024-04-25 01:14:03.000000,2024-04-25 01:14:03,1793.0,27.0,759.0,128.0,275.0,449.0,334.0,6944.0,Uniform Manifold Approximation and Projection.,130.0,33,True,2024-04-03 16:53:16.000,0.5.6,40.0,umap-learn,conda-forge/umap-learn,,,,617.0,1.0,https://pypi.org/project/umap-learn,2024-04-03 16:53:16.000,616.0,1008255.0,1059908.0,https://anaconda.org/conda-forge/umap-learn,2024-02-04 15:29:26.812,2376049.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +194,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2024-04-25 08:34:42.000000,2024-04-25 06:44:33,3124.0,167.0,706.0,140.0,103.0,94.0,329.0,5997.0,Fit interpretable models. Explain blackbox machine learning.,43.0,33,True,2024-04-14 22:32:49.000,0.6.1,49.0,interpret,,,,['jupyter'],695.0,663.0,https://pypi.org/project/interpret,2024-04-14 04:27:31.000,32.0,82580.0,82580.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +195,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1397.0,288.0,6588.0,13.0,2030.0,5863.0,A flexible framework of neural networks for deep learning.,324.0,33,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3625.0,3221.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,404.0,18752.0,19091.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,16964.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +196,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2024-02-02 08:20:24.000000,2023-07-28 00:16:45,2332.0,,1102.0,189.0,234.0,270.0,281.0,5555.0,Distributed Evolutionary Algorithms in Python.,87.0,33,False,2023-07-21 10:51:54.000,1.4.1,27.0,deap,conda-forge/deap,,,,5050.0,4673.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,377.0,205073.0,213845.0,https://anaconda.org/conda-forge/deap,2023-09-25 01:16:08.711,368440.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +197,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2024-04-24 22:03:23.000000,2024-04-24 21:55:38,1088.0,35.0,466.0,238.0,761.0,205.0,333.0,4568.0,Model interpretability and understanding for PyTorch.,110.0,33,True,2023-12-05 09:21:02.000,0.7.0,10.0,captum,conda-forge/captum,,,['pytorch'],2058.0,1991.0,https://pypi.org/project/captum,2023-12-05 08:32:04.000,67.0,232164.0,233009.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,23682.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +198,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2024-04-13 17:37:46.000000,2023-12-03 03:47:34,490.0,,595.0,65.0,217.0,191.0,158.0,4009.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,33,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,6408.0,6342.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,66.0,762955.0,766624.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,146772.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +199,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2024-04-23 12:02:45.109000,2024-04-19 12:38:42,1498.0,8.0,363.0,90.0,741.0,134.0,441.0,3204.0,Quickly and accurately render even the largest data.,55.0,33,True,2024-04-23 11:57:48.000,0.16.1,46.0,datashader,conda-forge/datashader,,,,4081.0,3938.0,https://pypi.org/project/datashader,2024-04-19 12:59:51.000,143.0,91560.0,109273.0,https://anaconda.org/conda-forge/datashader,2024-04-23 12:02:45.109,832536.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +200,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2024-04-25 15:07:21.000000,2024-04-25 08:15:55,2957.0,143.0,304.0,25.0,2721.0,164.0,1705.0,3103.0,"Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data..",85.0,33,True,2024-04-18 14:21:07.000,1.27.0,100.0,rubrix,conda-forge/rubrix,,,,2424.0,2424.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,814.0,1869.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,29551.0,,,,,2.0,,,,argilla-io/argilla,,,,,,,,,,,,,,,, +201,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2024-04-24 18:46:27.000000,2024-04-24 06:27:46,3694.0,16.0,193.0,50.0,1363.0,129.0,719.0,1965.0,Ahead of Time compiler for numeric kernels.,72.0,33,True,2024-01-07 21:21:39.000,0.15.0,59.0,pythran,conda-forge/pythran,,,,2080.0,2057.0,https://pypi.org/project/pythran,2024-01-07 21:21:39.000,23.0,210943.0,221804.0,https://anaconda.org/conda-forge/pythran,2024-01-08 06:40:29.964,467033.0,,,,,2.0,,,,,,,,,,,,,,,,,,pythran,python-pythran, +202,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2024-04-20 16:14:16.000000,2018-10-12 15:53:05,1251.0,,282.0,51.0,158.0,104.0,218.0,1591.0,Python Geocoder.,73.0,33,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,10263.0,9726.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,537.0,656508.0,658140.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,140416.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,geocoder +203,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2024-04-25 12:15:31.000000,2024-04-17 23:02:42,828.0,10.0,327.0,120.0,782.0,215.0,167.0,1465.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",84.0,33,True,2024-02-08 02:06:46.000,0.8.0,31.0,tensorflow-model-optimization,,,,['tensorflow'],3730.0,3700.0,https://pypi.org/project/tensorflow-model-optimization,2024-02-08 01:57:17.000,30.0,894241.0,894241.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +204,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2024-04-24 11:50:07.575000,2024-04-24 08:13:45,1179.0,8.0,359.0,66.0,603.0,272.0,350.0,1452.0,A Jupyter - Leaflet.js bridge.,88.0,33,True,2024-04-23 16:00:01.000,0.19.0,82.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],8652.0,8461.0,https://pypi.org/project/ipyleaflet,2024-04-23 16:00:01.000,185.0,137932.0,170640.0,https://anaconda.org/conda-forge/ipyleaflet,2024-04-24 11:50:07.575,1123052.0,,,,,3.0,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-04-23 15:59:25.544,6.0,8814.0,,,,,,,,,,, +205,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2024-04-23 15:40:16.000000,2024-04-23 15:40:11,2820.0,41.0,275.0,34.0,210.0,42.0,502.0,1233.0,Python interface for igraph.,75.0,33,False,2024-02-14 11:09:57.000,0.11.4,40.0,python-igraph,conda-forge/igraph,,,,4329.0,3904.0,https://pypi.org/project/python-igraph,2024-02-14 11:09:57.000,425.0,306406.0,324616.0,https://anaconda.org/conda-forge/igraph,2024-04-03 09:13:20.470,519978.0,,,,,1.0,562588.0,,-1.0,,,,,,,,,,,,,,,,, +206,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2024-04-25 14:57:23.000000,2024-04-24 23:44:39,13999.0,293.0,419.0,50.0,2101.0,151.0,779.0,669.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",161.0,33,False,2024-03-08 22:14:36.000,1.9.0,28.0,dipy,conda-forge/dipy,,,,1182.0,1065.0,https://pypi.org/project/dipy,2024-03-08 22:14:36.000,117.0,29974.0,40125.0,https://anaconda.org/conda-forge/dipy,2024-03-10 04:37:57.447,436509.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +207,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2024-04-25 15:22:21.000000,2024-04-25 14:44:43,4213.0,729.0,2619.0,264.0,3641.0,93.0,489.0,23901.0,You like pytorch? You like micrograd? You love tinygrad!.,300.0,32,True,2024-01-09 18:16:07.000,0.8.0,5.0,,,,,['pytorch'],62.0,62.0,,,,,,,,,,,,,1.0,,,,tinygrad/tinygrad,,,,,,,,,,,,,,,, +208,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2024-04-25 15:11:12.000000,2024-04-22 09:58:32,2630.0,456.0,1186.0,118.0,2843.0,254.0,889.0,17893.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",102.0,32,True,2024-04-22 13:27:09.000,1.9.0,68.0,,,,,,114.0,114.0,,,,,785.0,,,,,,,,2.0,28293.0,,,,,,,,,,,,,,,,,,, +209,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3420.0,465.0,671.0,590.0,672.0,14884.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,True,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1563.0,1473.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,90.0,5284.0,5284.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +210,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2023-10-18 03:42:44.000000,2023-03-28 11:49:55,2665.0,,2074.0,184.0,1005.0,574.0,723.0,12509.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,32,False,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1600.0,1593.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,7.0,8104.0,8115.0,,,,,,,,2.0,673.0,,,,,,,,,,,,,,,,,,, +211,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,,1159.0,339.0,1683.0,523.0,1294.0,11155.0,Turi Create simplifies the development of custom machine learning models.,86.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,392.0,371.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,21.0,20459.0,20586.0,,,,,,,,3.0,9697.0,,,,,,,,,,,,,,,,,,, +212,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2024-04-08 20:21:16.000000,2024-04-08 20:21:10,864.0,2.0,1282.0,420.0,87.0,32.0,160.0,9691.0,TensorFlow-based neural network library.,59.0,32,True,2024-01-02 11:15:06.000,2.0.2,29.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1331.0,1278.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,53.0,29864.0,30383.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,27540.0,,,,,3.0,,,,google-deepmind/sonnet,,,,,,,,,,,,,,,, +213,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2024-04-24 02:48:23.000000,2024-04-24 02:48:23,1609.0,94.0,666.0,85.0,728.0,119.0,249.0,8648.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",47.0,32,False,2024-03-19 22:29:03.000,2.6.3,28.0,cleanlab,conda-forge/cleanlab,,,,314.0,303.0,https://pypi.org/project/cleanlab,2024-03-19 22:29:03.000,11.0,15294.0,15888.0,https://anaconda.org/conda-forge/cleanlab,2024-03-25 10:23:11.703,21385.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +214,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2024-04-15 21:09:01.000000,2024-04-14 18:28:32,1151.0,18.0,1229.0,147.0,167.0,247.0,1252.0,8286.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,142.0,32,False,2024-02-22 18:30:39.000,0.7.6,17.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],798.0,784.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,6945.0,10825.0,https://anaconda.org/pytorch3d/pytorch3d,2023-10-31 20:03:11.190,205645.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +215,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2024-04-18 02:54:26.000000,2024-03-08 03:19:52,2899.0,4.0,1628.0,87.0,1641.0,307.0,1835.0,8251.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",119.0,32,True,2023-10-18 03:54:18.000,2.9.0,19.0,paddleseg,,,,['paddle'],1178.0,1174.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,4.0,2735.0,2735.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +216,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2024-04-18 23:06:40.000000,2024-02-11 06:36:31,669.0,1.0,329.0,69.0,108.0,32.0,137.0,7914.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",26.0,32,True,2023-10-01 01:13:46.000,0.7.0,14.0,einops,conda-forge/einops,,,,33193.0,32325.0,https://pypi.org/project/einops,2023-10-01 01:13:46.000,868.0,6499597.0,6504439.0,https://anaconda.org/conda-forge/einops,2023-10-01 10:01:09.036,203364.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +217,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-11-12 14:28:03.000000,2023-11-12 14:28:03,528.0,,870.0,86.0,274.0,78.0,376.0,7795.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,32,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,43590.0,42582.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,1008.0,2197025.0,2222698.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1155067.0,,,,,2.0,421.0,,,,,,,,,,,,,,,,,,, +218,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2024-04-15 22:26:34.000000,2024-03-13 19:58:20,1220.0,2.0,1078.0,124.0,275.0,250.0,430.0,7084.0,Distributed Asynchronous Hyperparameter Optimization in Python.,103.0,32,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,14973.0,14459.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,514.0,2113583.0,2124891.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,757639.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +219,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2024-04-21 11:02:41.000000,2024-03-13 09:36:57,2708.0,3.0,1130.0,209.0,1048.0,21.0,615.0,6541.0,An open source library for deep learning end-to-end dialog systems and chatbots.,77.0,32,True,2024-03-13 10:57:14.000,1.6.0,63.0,deeppavlov,,,,['tensorflow'],394.0,387.0,https://pypi.org/project/deeppavlov,2024-03-13 10:57:14.000,7.0,9311.0,9311.0,,,,,,,,2.0,,,,deeppavlov/DeepPavlov,,,,,,,,,,,,,,,, +220,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2023-08-06 00:30:36.000000,2023-08-06 00:30:36,2944.0,,1850.0,198.0,206.0,12.0,1343.0,6298.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,True,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1572.0,1524.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,48.0,12968.0,13318.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,10448.0,,,,,3.0,167.0,,,,,,,,,,,,,,,,,,, +221,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2024-04-23 23:27:59.000000,2024-04-23 23:27:59,166.0,12.0,1044.0,199.0,112.0,153.0,305.0,5912.0,Official Kaggle API.,39.0,32,True,2024-04-12 01:56:25.000,1.6.12,71.0,kaggle,conda-forge/kaggle,,,,418.0,21.0,https://pypi.org/project/kaggle,2024-04-12 01:56:25.000,397.0,220661.0,224104.0,https://anaconda.org/conda-forge/kaggle,2024-04-14 01:28:23.406,148060.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +222,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2024-04-01 08:16:02.000000,2024-04-01 08:13:40,1215.0,6.0,651.0,63.0,133.0,59.0,435.0,5763.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",41.0,32,True,2024-04-01 08:16:02.000,2.5.0,210.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],1466.0,1433.0,https://pypi.org/project/pytorch-metric-learning,2024-04-01 08:03:08.000,33.0,323729.0,323951.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,11329.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +223,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2024-04-16 19:56:05.000000,2024-04-16 19:56:01,616.0,12.0,682.0,108.0,189.0,14.0,341.0,5513.0,Python-tesseract is an optical character recognition (OCR) tool for python.,46.0,32,True,2023-10-15 15:39:44.000,0.3.13,27.0,pytesseract,conda-forge/pytesseract,,,,1270.0,,https://pypi.org/project/pytesseract,2022-08-16 19:20:38.334,1270.0,2116216.0,2129595.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,602063.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +224,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2024-04-25 14:38:39.000000,2024-04-17 17:08:08,2178.0,32.0,281.0,43.0,2139.0,337.0,654.0,4785.0,Aim An easy-to-use & supercharged open-source experiment tracker.,64.0,32,True,2024-04-17 17:16:40.000,3.19.3,975.0,aim,conda-forge/aim,,,,545.0,521.0,https://pypi.org/project/aim,2024-04-25 13:35:38.000,24.0,71306.0,72645.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,44210.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +225,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2024-04-12 04:55:14.000000,2024-03-15 22:39:59,618.0,4.0,118.0,75.0,69.0,14.0,124.0,3712.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,32,True,2024-03-15 22:38:56.000,6.2.0,50.0,ftfy,conda-forge/ftfy,,,,19443.0,18768.0,https://pypi.org/project/ftfy,2024-03-15 22:38:56.000,675.0,4700295.0,4707583.0,https://anaconda.org/conda-forge/ftfy,2023-11-22 19:57:21.457,284258.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +226,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2024-04-18 16:07:28.000000,2024-03-15 01:19:18,1424.0,23.0,455.0,56.0,773.0,42.0,475.0,3635.0,NeuralProphet: A simple forecasting package.,53.0,32,True,2024-02-23 20:22:47.000,0.8.0,34.0,neuralprophet,,,,['pytorch'],424.0,419.0,https://pypi.org/project/neuralprophet,2024-02-23 20:22:47.000,5.0,117403.0,117403.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +227,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2024-02-07 10:05:31.000000,2022-08-22 18:21:12,586.0,,602.0,78.0,78.0,72.0,161.0,3143.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,32,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,5858.0,5686.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,172.0,1918177.0,1921143.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,243223.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +228,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2024-04-25 15:54:15.000000,2024-04-25 15:41:27,844.0,48.0,354.0,42.0,921.0,33.0,294.0,3033.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",45.0,32,True,2024-03-04 14:51:09.000,0.8.1,15.0,python-doctr,,,,"['tensorflow', 'pytorch']",286.0,283.0,https://pypi.org/project/python-doctr,2024-03-04 14:51:09.000,3.0,28423.0,101854.0,,,,,,,,2.0,2790405.0,,,,,,,,,,,,,,,,,,, +229,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2024-04-25 06:17:27.000000,2024-04-12 17:36:51,703.0,4.0,254.0,43.0,819.0,72.0,285.0,2904.0,PyTorch extensions for high performance and large scale training.,74.0,32,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],4931.0,4865.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,66.0,477971.0,484307.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,183758.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +230,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2024-04-09 21:52:32.000000,2024-04-09 21:52:28,976.0,10.0,226.0,39.0,533.0,70.0,174.0,2806.0,JAX-based neural network library.,81.0,32,True,2024-02-28 18:11:54.000,0.0.12,15.0,dm-haiku,conda-forge/dm-haiku,,,,1912.0,1822.0,https://pypi.org/project/dm-haiku,2024-02-28 18:11:54.000,90.0,259246.0,259665.0,https://anaconda.org/conda-forge/dm-haiku,2024-02-28 22:18:23.853,15955.0,,,,,3.0,,,,google-deepmind/dm-haiku,,,,,,,,,,,,,,,, +231,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2024-03-15 06:37:00.287000,2021-10-12 13:32:38,1570.0,,541.0,64.0,546.0,322.0,393.0,2724.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,32,False,2024-03-14 18:24:11.000,0.10.1,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,286.0,,https://pypi.org/project/scikit-optimize,2024-03-14 18:24:11.000,286.0,812124.0,828328.0,https://anaconda.org/conda-forge/scikit-optimize,2024-03-15 06:37:00.287,712985.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +232,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2024-04-22 11:46:31.000000,2024-04-22 11:46:31,2943.0,13.0,692.0,76.0,860.0,272.0,629.0,2617.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",126.0,32,True,2024-03-08 20:41:28.000,0.1.25,25.0,pgmpy,,,,,954.0,920.0,https://pypi.org/project/pgmpy,2024-03-08 20:00:14.000,34.0,51557.0,51564.0,,,,,,,,2.0,336.0,,,,,,,,,,,,,,,,,,, +233,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2024-03-07 12:10:22.000000,2024-03-07 12:10:22,2293.0,2.0,584.0,69.0,481.0,247.0,702.0,2286.0,Survival analysis in Python.,117.0,32,True,2024-01-03 22:01:02.000,0.28.0,170.0,lifelines,conda-forge/lifelines,,,,2541.0,2401.0,https://pypi.org/project/lifelines,2024-01-03 22:01:02.000,140.0,499404.0,506289.0,https://anaconda.org/conda-forge/lifelines,2023-09-13 16:31:11.545,323600.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +234,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2024-04-04 16:01:23.000000,2024-03-18 20:30:45,1372.0,19.0,320.0,22.0,47.0,35.0,202.0,2228.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,32,True,2024-03-18 21:02:33.000,0.4.7,91.0,explainerdashboard,conda-forge/explainerdashboard,,,,481.0,471.0,https://pypi.org/project/explainerdashboard,2024-03-18 21:02:33.000,10.0,90907.0,92003.0,https://anaconda.org/conda-forge/explainerdashboard,2024-03-18 22:16:35.129,43852.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +235,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2024-03-28 16:57:11.000000,2024-03-28 16:57:04,547.0,4.0,161.0,42.0,77.0,7.0,127.0,1990.0,a python library for doing approximate and phonetic matching of strings.,31.0,32,True,2023-11-17 20:44:09.000,1.0.3,42.0,jellyfish,conda-forge/jellyfish,,,,9177.0,8710.0,https://pypi.org/project/jellyfish,2023-11-17 20:44:09.000,467.0,2966997.0,2985014.0,https://anaconda.org/conda-forge/jellyfish,2023-11-17 23:08:09.681,828783.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +236,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2024-04-21 15:50:45.000000,2024-04-21 15:50:45,208.0,17.0,255.0,57.0,76.0,49.0,225.0,1929.0,A Python wrapper for the tesseract-ocr API.,30.0,32,True,2024-03-28 18:27:41.000,2.6.3,20.0,tesserocr,conda-forge/tesserocr,,,,1039.0,967.0,https://pypi.org/project/tesserocr,2024-03-28 18:27:41.000,72.0,62132.0,64632.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,134924.0,,,,,2.0,230.0,,,,,,,,,,,,,,,,,,, +237,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2024-04-25 12:48:11.000000,2024-04-22 16:19:48,13363.0,234.0,279.0,34.0,1778.0,463.0,629.0,1008.0,Python package for earth-observing satellite data processing.,153.0,32,False,2024-04-22 16:20:44.000,0.48.0,93.0,satpy,conda-forge/satpy,,,,141.0,123.0,https://pypi.org/project/satpy,2024-02-21 11:29:00.000,18.0,9115.0,13203.0,https://anaconda.org/conda-forge/satpy,2024-04-23 06:53:48.899,188072.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +238,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2024-04-24 23:03:58.000000,2024-04-24 23:03:57,935.0,13.0,214.0,58.0,101.0,44.0,174.0,981.0,Input pipeline framework.,28.0,32,True,2024-04-24 22:55:08.000,1.15.0,57.0,tensorflow-transform,,,,['tensorflow'],1803.0,1747.0,https://pypi.org/project/tensorflow-transform,2024-04-24 22:55:08.000,56.0,847901.0,847901.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +239,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2024-04-25 03:53:13.000000,2024-04-22 18:43:38,11451.0,148.0,236.0,55.0,12130.0,230.0,2183.0,934.0,Cloud-native genomic dataframes and batch computing.,92.0,32,True,2024-04-10 20:37:13.000,0.2.130,150.0,hail,,,,['spark'],148.0,128.0,https://pypi.org/project/hail,2024-04-10 20:37:13.000,20.0,33455.0,33455.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +240,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2024-04-18 02:03:38.000000,2024-04-18 02:02:56,1072.0,19.0,170.0,35.0,116.0,31.0,61.0,718.0,Snowball compiler and stemming algorithms.,34.0,32,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6848.0,5.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,6843.0,15890781.0,15976824.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,7915958.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +241,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2024-03-17 08:58:36.000000,2023-07-13 08:50:20,531.0,,2714.0,384.0,120.0,232.0,561.0,24901.0,Deezer source separation library including pretrained models.,19.0,31,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],694.0,688.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,6.0,14333.0,73120.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,80437.0,,,,,2.0,3092609.0,,,,,,,,,,,,,,,,,,, +242,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2023-12-02 19:19:10.000000,2020-11-30 04:34:51,613.0,,2414.0,457.0,260.0,576.0,363.0,9606.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,31,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],5361.0,4872.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,489.0,6960.0,6960.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +243,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2024-04-22 20:07:04.000000,2024-03-11 18:51:26,551.0,4.0,1203.0,168.0,431.0,63.0,470.0,8080.0,Automatic extraction of relevant features from time series:.,92.0,31,True,2024-01-28 09:46:21.000,0.20.2,31.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],101.0,21.0,https://pypi.org/project/tsfresh,2024-01-28 09:46:21.000,80.0,238592.0,267208.0,https://anaconda.org/conda-forge/tsfresh,2024-01-28 10:39:22.145,1344979.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +244,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2024-04-21 07:15:46.000000,2024-03-26 15:14:29,5965.0,67.0,973.0,113.0,1635.0,98.0,646.0,7530.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",93.0,31,True,2024-03-25 22:52:24.000,2.10.0,121.0,perspective-python,conda-forge/perspective,,,['jupyter'],141.0,120.0,https://pypi.org/project/perspective-python,2024-03-25 22:45:59.000,17.0,5147.0,21040.0,https://anaconda.org/conda-forge/perspective,2024-03-26 20:17:11.439,557802.0,,,,,2.0,2545.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2024-03-25 22:45:31.297,4.0,3485.0,,,,,,,,,,, +245,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2024-04-23 12:27:20.000000,2024-03-06 05:23:22,360.0,3.0,1498.0,133.0,135.0,14.0,325.0,7490.0,A Python implementation of global optimization with gaussian processes.,44.0,31,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,,2682.0,2554.0,https://pypi.org/project/bayesian-optimization,2023-04-25 22:00:01.831,128.0,428355.0,428356.0,,,,,,,,2.0,145.0,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,,,,, +246,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-12-23 06:14:58.000000,2020-07-15 13:46:58,1184.0,,1594.0,302.0,294.0,152.0,268.0,5429.0,Portfolio and risk analytics in Python.,60.0,31,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,1028.0,994.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,34.0,9075.0,9251.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,13024.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +247,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2024-04-25 07:59:42.000000,2024-04-25 07:56:29,3869.0,21.0,524.0,86.0,555.0,109.0,475.0,4772.0,Online machine learning in Python.,113.0,31,True,2024-04-23 13:20:18.000,0.21.1,21.0,river,conda-forge/river,,,,503.0,467.0,https://pypi.org/project/river,2024-04-23 10:26:48.000,36.0,35040.0,36576.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,55305.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +248,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2024-04-25 00:35:54.000000,2024-04-25 00:35:53,612.0,25.0,743.0,82.0,339.0,52.0,328.0,4759.0,Uplift modeling and causal inference with machine learning algorithms.,62.0,31,True,2024-04-19 00:19:00.000,0.15.1,24.0,causalml,,,,,192.0,191.0,https://pypi.org/project/causalml,2024-04-19 00:19:00.000,1.0,94623.0,94623.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +249,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2024-04-23 09:23:59.000000,2022-09-24 16:20:26,585.0,,906.0,98.0,223.0,108.0,454.0,4746.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators.,45.0,31,False,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],3867.0,3805.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,62.0,101333.0,102013.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,20408.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +250,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2024-01-27 06:33:38.000000,2022-01-27 13:24:16,139.0,,1010.0,153.0,115.0,150.0,79.0,4480.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,31,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,43226.0,42363.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,863.0,462978.0,466538.0,https://anaconda.org/conda-forge/imutils,2023-10-27 09:12:56.985,160231.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +251,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2024-02-17 21:29:54.000000,2023-11-13 07:19:19,1344.0,,375.0,69.0,367.0,98.0,460.0,4157.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,31,True,2023-11-13 07:24:08.000,0.8.5,29.0,sacred,conda-forge/sacred,,,,3072.0,2960.0,https://pypi.org/project/sacred,2023-11-13 07:24:08.000,112.0,24921.0,25095.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,5060.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +252,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2024-03-20 17:31:08.000000,2023-11-02 13:49:44,662.0,,822.0,150.0,127.0,124.0,104.0,4039.0,Technical Analysis Library using Pandas and Numpy.,34.0,31,True,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,3317.0,3267.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,50.0,94287.0,94936.0,https://anaconda.org/conda-forge/ta,2023-11-02 22:03:30.766,24687.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +253,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2024-04-25 13:36:28.000000,2024-04-22 03:28:24,3849.0,17.0,539.0,59.0,892.0,352.0,972.0,3407.0,A highly efficient implementation of Gaussian Processes in PyTorch.,130.0,31,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],2130.0,2032.0,https://pypi.org/project/gpytorch,2023-06-02 22:13:00.914,98.0,187481.0,190742.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,153303.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +254,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,,704.0,184.0,737.0,274.0,669.0,3405.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,31,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,285.0,256.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,29.0,336629.0,336801.0,,,,,,,,3.0,15564.0,,,,,,,,,,,,,,,,,,, +255,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2024-03-19 06:24:29.000000,2022-05-31 03:18:45,1556.0,,437.0,94.0,124.0,85.0,348.0,3281.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,47.0,31,False,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,1162.0,1101.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,61.0,254357.0,256934.0,https://anaconda.org/conda-forge/nmslib,2023-09-26 10:22:21.295,108252.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +256,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2024-04-01 11:18:46.000000,2024-04-01 11:18:31,1289.0,11.0,281.0,55.0,220.0,51.0,416.0,2986.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,37.0,31,True,2023-08-21 11:33:22.000,1.12.0,28.0,stumpy,conda-forge/stumpy,,,,735.0,719.0,https://pypi.org/project/stumpy,2023-08-21 11:33:22.000,16.0,227565.0,248713.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,972837.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +257,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2024-04-05 20:34:01.000000,2024-04-05 20:34:01,476.0,7.0,732.0,119.0,125.0,64.0,370.0,2944.0,"Hidden Markov Models in Python, with scikit-learn like API.",48.0,31,True,2024-03-02 03:05:38.000,0.3.2,13.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],2612.0,2462.0,https://pypi.org/project/hmmlearn,2024-03-02 03:05:38.000,150.0,183378.0,188378.0,https://anaconda.org/conda-forge/hmmlearn,2024-03-02 05:37:57.119,215038.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +258,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2024-04-25 14:00:55.000000,2024-04-24 22:34:19,7630.0,403.0,338.0,80.0,8864.0,148.0,337.0,2858.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",114.0,31,True,2024-04-17 22:58:59.000,0.31.0,524.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2024-04-24 16:36:11.000,4.0,66597.0,66771.0,,,,,,,,3.0,7870.0,,,,,,,,,,,,,,,,,,, +259,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2024-04-01 18:35:40.000000,2024-03-04 19:25:47,1086.0,7.0,386.0,62.0,494.0,207.0,271.0,2825.0,A Hyperparameter Tuning Library for Keras.,61.0,31,True,2024-03-04 19:41:39.000,1.4.7,35.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],3609.0,3543.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,66.0,297265.0,298203.0,https://anaconda.org/conda-forge/keras-tuner,2024-03-05 15:33:09.039,30025.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +260,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2024-04-23 19:51:43.000000,2024-03-20 01:04:29,1637.0,2.0,324.0,60.0,189.0,126.0,195.0,2779.0,The machine learning toolkit for time series analysis in Python.,43.0,31,True,2023-12-12 14:39:23.000,0.6.3,100.0,tslearn,conda-forge/tslearn,,,['sklearn'],1283.0,1234.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,49.0,345091.0,373262.0,https://anaconda.org/conda-forge/tslearn,2024-02-04 18:41:01.911,1295866.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +261,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2024-04-25 13:52:06.000000,2024-04-17 09:24:54,1169.0,26.0,236.0,26.0,1012.0,100.0,418.0,2746.0,A python library for self-supervised learning on images.,38.0,31,True,2024-04-17 09:28:05.000,1.5.3,117.0,lightly,,,,['pytorch'],249.0,242.0,https://pypi.org/project/lightly,2024-04-17 09:29:01.000,7.0,28129.0,28129.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +262,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2024-04-18 14:14:17.442000,2023-11-20 19:03:21,997.0,,482.0,56.0,136.0,345.0,167.0,2672.0,A high performance implementation of HDBSCAN clustering.,87.0,31,True,2023-07-18 17:54:02.116,0.8.33,51.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],3624.0,3378.0,https://pypi.org/project/hdbscan,2023-11-20 19:06:35.000,246.0,463543.0,508267.0,https://anaconda.org/conda-forge/hdbscan,2024-04-18 14:14:17.442,1878448.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +263,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2024-04-23 20:16:09.000000,2024-04-17 21:14:10,1140.0,45.0,278.0,36.0,468.0,104.0,347.0,2417.0,Scalable and user friendly neural forecasting algorithms.,44.0,31,True,2024-04-11 00:17:25.000,1.7.1,22.0,neuralforecast,conda-forge/neuralforecast,,,,137.0,130.0,https://pypi.org/project/neuralforecast,2024-04-11 00:17:25.000,7.0,28252.0,28813.0,https://anaconda.org/conda-forge/neuralforecast,2024-04-11 03:35:39.383,14041.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +264,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2024-04-09 11:39:30.000000,2024-04-09 11:39:30,957.0,4.0,397.0,39.0,150.0,45.0,242.0,2366.0,A library of sklearn compatible categorical variable encoders.,70.0,31,True,2023-10-29 20:29:52.000,2.6.3,32.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],1859.0,1675.0,https://pypi.org/project/category_encoders,2023-10-29 20:29:52.000,184.0,1644237.0,1652725.0,https://anaconda.org/conda-forge/category_encoders,2023-10-30 01:23:52.252,254665.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +265,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2024-04-23 21:41:16.000000,2024-04-18 15:20:09,942.0,4.0,219.0,50.0,318.0,132.0,131.0,1810.0,Evaluate: A library for easily evaluating machine learning models and datasets.,126.0,31,True,2023-10-13 15:57:18.000,0.4.1,14.0,evaluate,,,,,8604.0,8441.0,https://pypi.org/project/evaluate,2023-10-13 15:54:47.000,163.0,2666379.0,2666379.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +266,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2024-04-19 13:09:14.696000,2024-02-23 02:45:37,1079.0,2.0,227.0,34.0,251.0,53.0,272.0,1517.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",23.0,31,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,7988.0,7899.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,89.0,2776649.0,2801733.0,https://anaconda.org/conda-forge/pmdarima,2024-04-19 13:09:14.696,1053558.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +267,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2024-04-25 15:31:02.000000,2024-04-25 14:51:44,4036.0,262.0,46.0,164.0,525.0,129.0,416.0,1451.0,Multiplatform plotting library based on the Grammar of Graphics.,20.0,31,True,2024-04-25 15:31:02.000,4.3.2,73.0,lets-plot,,,,,78.0,73.0,https://pypi.org/project/lets-plot,2024-04-25 15:31:02.000,5.0,21925.0,21937.0,,,,,,,,2.0,651.0,,,,,,,,,,,,,,,,,,, +268,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2024-04-22 14:43:59.507000,2024-04-19 09:48:25,946.0,9.0,430.0,87.0,229.0,55.0,240.0,1421.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,74.0,31,True,2024-04-19 10:03:17.000,3.1.6,27.0,emcee,conda-forge/emcee,,,,2735.0,2354.0,https://pypi.org/project/emcee,2024-04-19 10:03:17.000,381.0,156154.0,165810.0,https://anaconda.org/conda-forge/emcee,2024-04-22 14:43:59.507,328327.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +269,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2024-04-23 03:33:42.000000,2024-04-23 03:21:48,1552.0,25.0,163.0,16.0,795.0,112.0,445.0,1283.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,108.0,31,True,2024-03-21 03:35:03.000,0.27.0,60.0,pyjanitor,conda-forge/pyjanitor,,,,608.0,588.0,https://pypi.org/project/pyjanitor,2024-03-21 03:34:57.000,20.0,72565.0,76641.0,https://anaconda.org/conda-forge/pyjanitor,2024-03-21 06:08:00.698,191575.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +270,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2024-04-25 09:58:50.000000,2024-04-25 09:58:50,10680.0,236.0,227.0,36.0,1475.0,206.0,350.0,1148.0,Computations and statistics on manifolds with geometric structures.,92.0,31,True,2023-08-30 05:36:10.000,2.7.0,32.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,104.0,101.0,https://pypi.org/project/geomstats,2023-08-30 05:33:32.000,3.0,3776.0,3883.0,https://anaconda.org/conda-forge/geomstats,2023-08-30 16:59:06.279,2359.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +271,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2024-04-25 15:31:26.000000,2024-04-23 21:32:58,3300.0,21.0,240.0,48.0,374.0,70.0,265.0,1029.0,"OpenCL integration for Python, plus shiny features.",96.0,31,True,2024-01-23 22:08:06.000,2024.1,95.0,pyopencl,conda-forge/pyopencl,,,,2076.0,1861.0,https://pypi.org/project/pyopencl,2024-01-23 22:46:25.000,215.0,50268.0,72160.0,https://anaconda.org/conda-forge/pyopencl,2024-01-24 00:59:29.948,1007051.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +272,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2024-04-23 20:45:55.000000,2024-04-23 12:20:49,678.0,36.0,99.0,24.0,531.0,336.0,412.0,940.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",46.0,31,True,2024-01-30 08:44:06.000,0.9.2,67.0,hvplot,conda-forge/hvplot,,,,4979.0,4860.0,https://pypi.org/project/hvplot,2024-04-19 17:52:37.000,119.0,161041.0,173161.0,https://anaconda.org/conda-forge/hvplot,2024-01-30 08:55:28.301,557531.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +273,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2024-01-05 15:46:09.327000,2024-01-04 18:54:38,558.0,,107.0,32.0,60.0,71.0,79.0,921.0,Describing statistical models in Python using symbolic formulas.,19.0,31,True,2024-01-04 18:58:03.000,0.5.6,13.0,patsy,conda-forge/patsy,,,,96717.0,93954.0,https://pypi.org/project/patsy,2024-01-04 18:55:57.000,2763.0,16183647.0,16512128.0,https://anaconda.org/conda-forge/patsy,2024-01-05 15:46:09.327,10182933.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +274,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2024-04-22 23:18:58.000000,2024-04-22 23:18:58,1950.0,35.0,230.0,18.0,296.0,50.0,268.0,825.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",46.0,31,True,2024-04-22 16:08:04.000,1.5.0,48.0,salib,conda-forge/salib,,,,1178.0,1086.0,https://pypi.org/project/salib,2024-04-22 16:08:04.000,92.0,157200.0,160793.0,https://anaconda.org/conda-forge/salib,2024-04-22 19:44:20.663,150938.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +275,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCm/tensorflow-upstream,https://github.com/ROCm/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2024-04-25 10:12:50.000000,2024-04-25 08:49:47,166744.0,3419.0,89.0,51.0,2133.0,82.0,285.0,677.0,TensorFlow ROCm port.,4615.0,31,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,,['tensorflow'],6.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,6.0,4670.0,4670.0,,,,,,,,3.0,21.0,,,ROCm/tensorflow-upstream,,,,,,,,,,,,,,,, +276,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2024-04-24 14:46:36.000000,2024-04-19 08:52:14,2043.0,187.0,57.0,19.0,1518.0,29.0,210.0,535.0,The MLOps stack component for experiment tracking.,54.0,31,True,2024-04-08 08:28:32.000,1.10.2,205.0,neptune-client,conda-forge/neptune-client,,,,498.0,447.0,https://pypi.org/project/neptune-client,2024-04-08 08:28:32.000,51.0,544530.0,549525.0,https://anaconda.org/conda-forge/neptune-client,2024-04-08 09:58:08.810,234801.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +277,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2024-04-24 17:42:02.000000,2024-04-22 21:55:10,17115.0,33.0,111.0,27.0,3574.0,521.0,3382.0,489.0,"Keep code, data, containers under control with git and git-annex.",55.0,31,True,2024-04-19 23:11:19.000,1.0.2,114.0,datalad,conda-forge/datalad,,,,456.0,388.0,https://pypi.org/project/datalad,2024-04-19 23:11:19.000,68.0,17341.0,26887.0,https://anaconda.org/conda-forge/datalad,2024-04-20 02:44:01.193,439134.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +278,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2024-04-18 16:45:16.000000,2024-04-18 16:44:29,305.0,3.0,2772.0,141.0,46.0,119.0,136.0,17985.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",21.0,30,True,2024-04-18 16:45:16.000,1.6.7,187.0,vit-pytorch,,,,['pytorch'],445.0,439.0,https://pypi.org/project/vit-pytorch,2024-04-18 16:45:16.000,6.0,22533.0,22533.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +279,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4382.0,1253.0,557.0,836.0,2543.0,17459.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,30,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,21.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,19.0,476.0,622.0,,,,,,,,3.0,14454.0,,,,,,,,,,,,,,,,,,, +280,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2024-04-25 08:02:34.000000,2024-04-13 16:09:30,1960.0,3.0,2411.0,282.0,912.0,195.0,679.0,14155.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",123.0,30,True,2024-04-13 16:11:55.000,0.9.4,32.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,2023-07-18 11:35:09.110,1.0,2346.0,2355.0,,,,,,,,2.0,396.0,,,,,,,,,,,,,,,,,,, +281,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,,2067.0,284.0,3401.0,51.0,1494.0,10426.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,217.0,30,True,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],26.0,21.0,https://pypi.org/project/parlai,2022-09-20 02:56:01.305,5.0,2214.0,2214.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +282,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2024-04-25 11:15:30.000000,2024-04-25 11:15:30,2924.0,40.0,2217.0,195.0,440.0,220.0,474.0,9087.0,FinRL: Financial Reinforcement Learning.,113.0,30,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,36.0,36.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1917.0,1917.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +283,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2024-03-27 23:33:39.000000,2024-02-20 22:38:05,385.0,2.0,2150.0,285.0,97.0,311.0,448.0,8398.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,30,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1609.0,1590.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,19.0,6853.0,19767.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,6978.0,,,,,2.0,918651.0,,,,,,,,,,,,,,,,,,, +284,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-12-25 14:05:19.000000,2023-04-18 11:08:13,2759.0,,1267.0,215.0,711.0,187.0,829.0,7403.0,Automated Machine Learning with scikit-learn.,88.0,30,True,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],602.0,563.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,39.0,16201.0,16798.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,21517.0,,,,,2.0,51.0,,,,,,,,,,,,,,,,,,, +285,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2024-04-22 16:07:18.000000,2024-04-22 16:07:14,1000.0,16.0,898.0,135.0,686.0,128.0,317.0,6734.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,85.0,30,True,2023-12-25 07:11:09.000,0.11.1,15.0,dowhy,conda-forge/dowhy,,,,364.0,357.0,https://pypi.org/project/dowhy,2023-12-25 07:11:09.000,7.0,51518.0,52001.0,https://anaconda.org/conda-forge/dowhy,2024-01-26 10:57:10.385,19818.0,,,,,2.0,33.0,,,,,,,,,,,,,,,,,,, +286,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2024-04-10 13:26:10.000000,2023-01-31 19:40:04,3203.0,,1394.0,189.0,785.0,40.0,423.0,6080.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",132.0,30,False,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],645.0,633.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,12.0,3145.0,3311.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,7652.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +287,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2024-04-25 13:04:34.000000,2024-02-19 12:55:23,1086.0,4.0,374.0,80.0,528.0,54.0,453.0,5622.0,A scikit-learn compatible neural network library that wraps PyTorch.,62.0,30,True,2023-09-04 10:10:59.000,0.15.0,19.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1253.0,1199.0,https://pypi.org/project/skorch,2023-09-04 09:59:43.000,54.0,162152.0,180283.0,https://anaconda.org/conda-forge/skorch,2023-09-06 08:43:59.780,779656.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +288,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2024-04-25 12:25:10.000000,2024-04-24 13:41:15,1457.0,16.0,762.0,74.0,1788.0,309.0,629.0,4291.0,Probabilistic time series modeling in Python.,112.0,30,True,2024-02-02 12:38:04.000,0.14.4,108.0,gluonts,anaconda/gluonts,,,['mxnet'],16.0,,https://pypi.org/project/gluonts,2024-02-02 12:38:04.000,16.0,287464.0,287489.0,https://anaconda.org/anaconda/gluonts,2023-12-22 09:31:03.436,758.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +289,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2024-03-18 02:23:40.000000,2023-12-19 14:36:52,3303.0,,537.0,120.0,371.0,77.0,737.0,3974.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",70.0,30,True,2023-02-17 16:58:05.493,2.0.23,174.0,dedupe,conda-forge/dedupe,,,,374.0,324.0,https://pypi.org/project/dedupe,2023-02-17 16:58:05.493,50.0,73593.0,75213.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,45383.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +290,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2024-04-25 08:24:46.000000,2024-04-25 00:37:44,15419.0,76.0,500.0,69.0,3480.0,880.0,1577.0,3898.0,cuML - RAPIDS Machine Learning Library.,170.0,30,True,2024-04-10 20:54:06.000,24.04.00,38.0,cuml,,,,,7.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,7.0,2703.0,2703.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +291,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2024-04-08 14:24:28.000000,2024-04-08 14:14:18,1091.0,7.0,351.0,58.0,1347.0,125.0,174.0,3847.0,A Python toolbox for performing gradient-free optimization.,55.0,30,True,2024-02-20 14:59:08.000,1.0.2,47.0,nevergrad,conda-forge/nevergrad,,,,695.0,662.0,https://pypi.org/project/nevergrad,2024-02-20 14:59:08.000,33.0,118512.0,119521.0,https://anaconda.org/conda-forge/nevergrad,2024-01-09 16:02:07.312,47435.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +292,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2024-03-02 01:06:27.711000,2023-02-26 20:07:33,189.0,,503.0,76.0,37.0,12.0,121.0,3808.0,Missing data visualization module for Python.,18.0,30,False,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,15982.0,15838.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,144.0,310399.0,638868.0,https://anaconda.org/conda-forge/missingno,2024-03-02 01:06:27.711,328469.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +293,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2024-04-25 13:15:57.000000,2024-04-22 18:07:11,494.0,10.0,519.0,37.0,518.0,12.0,,3571.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,41.0,30,True,2024-04-08 16:09:10.000,0.11.16,101.0,sahi,conda-forge/sahi,,,,1049.0,1036.0,https://pypi.org/project/sahi,2023-11-05 23:19:54.000,13.0,121429.0,123906.0,https://anaconda.org/conda-forge/sahi,2023-11-06 10:35:24.165,55597.0,,,,,2.0,23746.0,,,,,,,,,,,,,,,,,,, +294,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2024-03-25 09:04:27.051000,2024-03-25 08:55:18,3659.0,3.0,459.0,100.0,1047.0,255.0,368.0,3552.0,Plotting library for IPython/Jupyter notebooks.,64.0,30,True,2024-02-27 15:38:38.000,0.12.43,112.0,bqplot,conda-forge/bqplot,,,['jupyter'],180.0,55.0,https://pypi.org/project/bqplot,2024-03-25 09:03:21.000,108.0,119802.0,150193.0,https://anaconda.org/conda-forge/bqplot,2024-02-19 16:46:43.025,1281759.0,,,,,3.0,,,,,bqplot,https://www.npmjs.com/package/bqplot,2024-03-25 09:04:27.051,17.0,3120.0,,,,,,,,,,, +295,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2024-04-18 17:19:58.000000,2024-04-18 17:19:51,1212.0,57.0,471.0,63.0,730.0,7.0,529.0,3428.0,On-device wake word detection powered by deep learning.,37.0,30,True,2024-01-30 21:38:49.000,3.0.2,34.0,pvporcupine,,,,,43.0,28.0,https://pypi.org/project/pvporcupine,2024-01-30 21:38:49.000,15.0,7801.0,7801.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +296,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2024-03-20 16:59:01.000000,2023-11-21 21:15:59,435.0,,602.0,78.0,228.0,79.0,406.0,3424.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,30,True,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1342.0,1302.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,40.0,168523.0,182283.0,https://anaconda.org/conda-forge/implicit,2023-11-21 19:59:55.425,590562.0,,,,,1.0,712.0,,,,,,,,,,,,,,,,,,, +297,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2024-02-24 20:17:14.000000,2024-02-24 20:17:13,454.0,8.0,522.0,113.0,92.0,20.0,101.0,3417.0,Module for automatic summarization of text documents and HTML pages.,31.0,30,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,2790.0,2678.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,112.0,462366.0,462591.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,7673.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +298,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2024-04-25 03:04:57.299000,2024-04-24 11:35:19,406.0,3.0,244.0,64.0,53.0,9.0,,3300.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",15.0,30,True,2024-04-24 11:36:32.000,4.6.2,28.0,textdistance,conda-forge/textdistance,,,,6227.0,6156.0,https://pypi.org/project/textdistance,2024-04-24 11:35:57.000,71.0,725197.0,738333.0,https://anaconda.org/conda-forge/textdistance,2024-04-25 03:04:57.299,538048.0,,,,,2.0,1000.0,,,,,,,,,,,,,,,,,,, +299,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2024-03-11 01:00:49.000000,2024-03-11 00:59:40,984.0,4.0,571.0,97.0,335.0,43.0,718.0,3257.0,"Fast, flexible and easy to use probabilistic modelling in Python.",73.0,30,True,2024-03-11 01:00:49.000,1.0.4,74.0,pomegranate,conda-forge/pomegranate,,,,1143.0,1083.0,https://pypi.org/project/pomegranate,2024-03-11 01:00:49.000,60.0,43717.0,46827.0,https://anaconda.org/conda-forge/pomegranate,2023-12-10 17:04:41.093,146199.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +300,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2024-04-24 09:20:02.000000,2024-04-24 09:20:01,619.0,99.0,572.0,38.0,848.0,122.0,693.0,3133.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",78.0,30,True,2024-03-27 16:32:44.000,1.0.1,30.0,anomalib,,,,,64.0,61.0,https://pypi.org/project/anomalib,2024-03-27 16:33:12.000,3.0,13112.0,13436.0,,,,,,,,2.0,9079.0,,,,,,,,,,,,,,,,,,, +301,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2023-12-13 21:21:22.000000,2023-10-24 18:29:08,333.0,,324.0,66.0,75.0,15.0,121.0,3011.0,A Python Perceptual Image Hashing Module.,26.0,30,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,13123.0,12728.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,395.0,1552281.0,1556356.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,362698.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +302,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2024-03-31 00:50:11.000000,2024-03-31 00:50:11,2705.0,33.0,366.0,38.0,517.0,50.0,216.0,2754.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",65.0,30,True,2024-03-11 02:20:29.000,0.3.10,47.0,textattack,conda-forge/textattack,,,,250.0,244.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,6.0,6720.0,6887.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,7222.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +303,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2024-03-20 16:55:01.000000,2024-03-20 16:53:52,2297.0,5.0,721.0,78.0,205.0,189.0,466.0,2729.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",151.0,30,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,,['tensorflow'],10.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,10.0,98172.0,98172.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +304,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2024-04-03 16:17:05.000000,2024-03-04 15:46:26,1711.0,12.0,421.0,44.0,365.0,22.0,349.0,2656.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",35.0,30,True,2024-03-04 20:59:17.000,3.3.4,71.0,foolbox,conda-forge/foolbox,,,,589.0,575.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,2645.0,2932.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,12927.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +305,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2024-04-05 13:21:22.787000,2024-04-05 11:33:33,2908.0,40.0,1055.0,121.0,515.0,61.0,300.0,2551.0,IPython Parallel: Interactive Parallel Computing in Python.,113.0,30,False,2024-04-05 11:35:24.000,8.8.0,47.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],311.0,,https://pypi.org/project/ipyparallel,2024-04-05 11:35:24.000,311.0,331958.0,355516.0,https://anaconda.org/conda-forge/ipyparallel,2024-04-05 13:21:22.787,989476.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +306,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2024-01-11 18:01:50.000000,2023-12-23 13:05:00,887.0,,356.0,83.0,168.0,216.0,146.0,2325.0,An interactive data visualization tool which brings matplotlib graphics to the browser using D3.,52.0,30,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,6286.0,5859.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,418.0,420009.0,425179.0,https://anaconda.org/conda-forge/mpld3,2023-12-23 15:16:22.285,195821.0,,,,,3.0,,,,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,914.0,,,,,,,,,,, +307,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2024-04-25 09:54:03.000000,2024-02-28 15:45:58,1631.0,90.0,250.0,66.0,63.0,33.0,186.0,2086.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,21.0,30,True,2024-02-28 15:44:03.000,2.1.0,15.0,ampligraph,,,,['tensorflow'],49.0,49.0,https://pypi.org/project/ampligraph,2024-02-26 17:12:26.000,,1138.0,1138.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +308,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2024-04-25 15:20:29.000000,2024-04-24 06:52:45,5611.0,103.0,699.0,88.0,5873.0,201.0,853.0,2078.0,TFX is an end-to-end platform for deploying production ML pipelines.,183.0,30,True,2023-09-06 22:01:30.000,1.14.0,95.0,tfx,,,,['tensorflow'],14.0,,https://pypi.org/project/tfx,2023-09-06 22:01:30.000,14.0,54450.0,54450.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +309,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2024-04-10 14:16:55.000000,2024-04-06 22:13:38,1501.0,56.0,203.0,50.0,251.0,167.0,157.0,2055.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",41.0,30,True,2024-04-06 21:47:05.000,0.33.7,175.0,graphistry,,,,['jupyter'],121.0,114.0,https://pypi.org/project/graphistry,2024-04-06 21:47:05.000,7.0,3835.0,3835.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +310,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2024-04-20 09:26:43.000000,2024-04-20 09:26:39,883.0,24.0,122.0,22.0,368.0,115.0,232.0,1809.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,50.0,30,True,2024-04-14 13:04:28.000,0.11.4,48.0,equinox,,,,['jax'],591.0,514.0,https://pypi.org/project/equinox,2024-04-14 13:04:28.000,77.0,190230.0,190230.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +311,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2024-04-25 11:35:16.000000,2024-04-24 03:39:31,1711.0,222.0,352.0,26.0,1783.0,238.0,102.0,1727.0,Pytorch domain library for recommendation systems.,225.0,30,True,2024-04-25 01:39:04.000,0.7.0,77.0,torchrec-nightly-cpu,,,,,104.0,104.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,916.0,916.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +312,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2024-04-25 10:30:13.000000,2024-04-25 10:30:10,1187.0,69.0,175.0,19.0,156.0,48.0,134.0,1693.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,28.0,30,True,2024-03-15 11:44:36.000,0.35.0,38.0,audiomentations,,,,,479.0,470.0,https://pypi.org/project/audiomentations,2024-03-15 11:44:36.000,9.0,29720.0,29720.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +313,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2024-04-17 09:45:46.000000,2024-03-27 14:10:14,3874.0,88.0,280.0,27.0,574.0,85.0,711.0,1665.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,77.0,30,True,2024-02-27 17:02:40.000,0.5.0,8.0,avalanche-lib,,,,,85.0,82.0,https://pypi.org/project/avalanche-lib,2024-02-27 16:52:08.000,3.0,1280.0,1280.0,,,,,,,,2.0,19.0,,,,,,,,,,,,,,,,,,, +314,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2024-04-22 23:23:43.000000,2024-04-15 05:29:23,1640.0,174.0,87.0,21.0,300.0,32.0,71.0,1638.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",36.0,30,True,2024-04-15 05:29:25.000,2.11.7,114.0,usearch,,unum/usearch,,,83.0,68.0,https://pypi.org/project/usearch,2024-04-15 06:25:42.000,5.0,59387.0,65713.0,,,,https://hub.docker.com/r/unum/usearch,2024-04-15 05:37:04.966191,1.0,75.0,3.0,1211.0,,2.0,,usearch,https://www.npmjs.com/package/usearch,2024-04-10 02:44:41.570,10.0,6200.0,,,,,,,,,,, +315,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2024-03-30 17:39:23.000000,2024-03-30 17:39:23,1059.0,8.0,217.0,53.0,204.0,29.0,281.0,1614.0,A full spaCy pipeline and models for scientific/biomedical documents.,33.0,30,True,2024-03-08 05:58:36.000,0.5.4,15.0,scispacy,,,,,908.0,877.0,https://pypi.org/project/scispacy,2024-03-08 05:58:36.000,31.0,27342.0,27342.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +316,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2024-03-22 18:13:39.000000,2024-03-05 19:49:17,712.0,8.0,316.0,43.0,365.0,77.0,213.0,1613.0,Training PyTorch models with differential privacy.,77.0,30,True,2024-02-11 17:28:30.000,1.4.1,21.0,opacus,conda-forge/opacus,,,['pytorch'],787.0,767.0,https://pypi.org/project/opacus,2024-02-11 17:28:30.000,20.0,139174.0,139674.0,https://anaconda.org/conda-forge/opacus,2024-02-11 19:23:25.249,13446.0,,,,,2.0,109.0,,,,,,,,,,,,,,,,,,, +317,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2024-04-07 13:04:52.000000,2024-04-07 13:04:52,1249.0,7.0,136.0,30.0,109.0,34.0,254.0,1528.0,Statistical package in Python based on Pandas.,45.0,30,False,2024-01-13 15:48:45.000,0.5.4,40.0,pingouin,conda-forge/pingouin,,,,2014.0,1940.0,https://pypi.org/project/pingouin,2024-01-13 15:46:36.000,74.0,66148.0,68664.0,https://anaconda.org/conda-forge/pingouin,2024-01-15 09:58:06.763,115736.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +318,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2024-04-11 17:54:34.000000,2024-04-11 17:54:34,1875.0,17.0,269.0,45.0,274.0,61.0,194.0,1495.0,TensorLy: Tensor Learning in Python.,67.0,30,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,686.0,628.0,https://pypi.org/project/tensorly,2023-03-08 01:09:02.237,58.0,26410.0,31536.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,363967.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +319,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2024-04-25 13:15:07.000000,2024-04-25 13:15:07,1476.0,4.0,162.0,32.0,249.0,,,1316.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,30,True,2024-04-25 12:54:53.000,1.3.5,77.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1667.0,1616.0,https://pypi.org/project/spacy-transformers,2024-04-25 12:53:43.000,51.0,221498.0,222542.0,https://anaconda.org/conda-forge/spacy-transformers,2023-12-19 11:34:09.090,30300.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +320,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2024-03-15 15:54:00.000000,2024-03-15 15:54:00,4210.0,6.0,285.0,80.0,643.0,19.0,608.0,1273.0,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,30,True,2024-01-31 22:49:04.000,24.01,37.0,pysal,conda-forge/pysal,,,,1527.0,1488.0,https://pypi.org/project/pysal,2024-01-31 22:49:08.000,39.0,24979.0,36939.0,https://anaconda.org/conda-forge/pysal,2023-10-04 23:43:19.864,538238.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +321,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2024-04-16 17:35:41.000000,2024-04-16 17:27:51,1127.0,7.0,241.0,45.0,518.0,36.0,183.0,1252.0,ARCH models in Python.,35.0,30,False,2024-04-16 17:35:41.000,7.0.0,47.0,arch,conda-forge/arch-py,,,,1661.0,1585.0,https://pypi.org/project/arch,2024-04-16 17:35:41.000,76.0,373373.0,379680.0,https://anaconda.org/conda-forge/arch-py,2024-01-05 09:54:56.136,290157.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +322,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2024-04-05 19:20:06.000000,2024-04-05 18:52:42,3044.0,26.0,269.0,34.0,37.0,1.0,491.0,1212.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,30,True,2024-04-05 19:20:07.000,0.41.3,210.0,ktrain,,,,['tensorflow'],517.0,514.0,https://pypi.org/project/ktrain,2024-04-05 18:57:50.000,3.0,9375.0,9375.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +323,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2024-04-02 02:34:15.000000,2024-04-02 02:31:39,818.0,7.0,248.0,40.0,509.0,273.0,256.0,880.0,Scalable Machine Learning with Dask.,78.0,30,True,2024-04-02 02:33:18.000,2024.4.4,37.0,dask-ml,conda-forge/dask-ml,,,,1077.0,1002.0,https://pypi.org/project/dask-ml,2024-04-02 02:33:18.000,75.0,308966.0,326370.0,https://anaconda.org/conda-forge/dask-ml,2024-03-21 17:55:27.760,818015.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +324,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2024-04-01 17:38:38.000000,2024-03-25 14:43:57,494.0,1.0,120.0,31.0,128.0,27.0,74.0,879.0,Python bindings and utilities for GeoJSON.,56.0,30,True,2023-11-05 21:06:50.000,3.1.0,31.0,geojson,conda-forge/geojson,,,,18318.0,17028.0,https://pypi.org/project/geojson,2023-11-05 21:06:50.000,1290.0,2039522.0,2096326.0,https://anaconda.org/conda-forge/geojson,2023-11-06 11:21:40.354,795263.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +325,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2024-04-24 23:54:11.000000,2024-04-24 23:48:44,959.0,16.0,162.0,48.0,85.0,35.0,144.0,749.0,Library for exploring and validating machine learning data.,26.0,30,True,2024-04-24 23:26:22.000,1.15.1,46.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",895.0,864.0,https://pypi.org/project/tensorflow-data-validation,2024-04-24 23:54:11.000,31.0,192385.0,192394.0,,,,,,,,3.0,647.0,,,,,,,,,,,,,,,,,,, +326,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2024-04-24 19:36:09.000000,2024-04-24 04:18:42,1684.0,24.0,282.0,41.0,1355.0,271.0,363.0,690.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",107.0,30,True,2024-02-06 04:35:56.000,0.36.0,43.0,tensorflow-io,,,,['tensorflow'],36.0,,https://pypi.org/project/tensorflow-io,2024-02-06 04:34:40.000,36.0,3120079.0,3120079.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +327,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2024-03-04 08:10:52.000000,2023-12-15 12:50:52,282.0,,107.0,24.0,53.0,37.0,57.0,479.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,30,True,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,20358.0,19986.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,372.0,2003136.0,2021216.0,https://anaconda.org/conda-forge/audioread,2023-09-30 21:07:31.348,759365.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +328,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-04-23 19:58:08.000000,2023-04-19 14:13:08,2404.0,,3678.0,605.0,227.0,49.0,,13036.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,2077.0,2003.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,74.0,21343.0,21343.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +329,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1840.0,218.0,46.0,96.0,94.0,8944.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],114.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,94.0,112853.0,113555.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,32314.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +330,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2024-04-25 13:39:27.000000,2024-04-24 19:35:07,1173.0,8.0,1318.0,100.0,639.0,691.0,521.0,8034.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,127.0,29,True,,,3.0,,conda-forge/nvidia-apex,,,['pytorch'],2411.0,2411.0,,,,,4605.0,https://anaconda.org/conda-forge/nvidia-apex,2024-01-12 02:06:46.952,193427.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +331,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2024-04-19 02:47:07.000000,2023-01-19 00:37:33,900.0,,1236.0,153.0,951.0,63.0,787.0,5752.0,Gluon CV Toolkit.,119.0,29,False,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],82.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,61.0,57788.0,57788.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +332,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2024-03-31 17:27:35.000000,2023-10-22 09:33:23,779.0,,1156.0,211.0,92.0,194.0,121.0,5668.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,29,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,474.0,454.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,20.0,10402.0,10402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +333,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-10-19 19:24:54.000000,2023-10-19 19:24:51,248.0,,881.0,126.0,38.0,69.0,144.0,5200.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,29,True,2022-04-22 15:21:47.000,0.2.3,7.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],3230.0,3183.0,https://pypi.org/project/torchdiffeq,2022-04-22 15:21:47.000,47.0,797588.0,797906.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,14947.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +334,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-04-22 17:35:37.000000,2024-04-18 19:57:27,1591.0,35.0,810.0,146.0,1503.0,342.0,398.0,4968.0,Simple and Distributed Machine Learning.,116.0,29,True,2024-04-11 00:33:42.000,1.0.4,48.0,synapseml,,,,,3.0,,https://pypi.org/project/synapseml,2024-04-11 00:33:42.000,3.0,179290.0,179290.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +335,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2023-09-20 11:21:28.000000,2023-09-20 11:21:28,918.0,,634.0,147.0,789.0,141.0,356.0,4725.0,Deep Learning Visualization Toolkit.,33.0,29,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,,['paddle'],2851.0,2805.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,46.0,221128.0,221135.0,,,,,,,,2.0,357.0,,,,,,,,,,,,,,,,,,, +336,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-12-24 09:12:15.000000,2023-04-30 18:36:20,483.0,,667.0,88.0,206.0,142.0,356.0,4600.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,29,True,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1472.0,1422.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,50.0,526227.0,528541.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,173604.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +337,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2024-04-23 19:43:29.000000,2024-03-06 14:52:20,787.0,8.0,378.0,76.0,285.0,63.0,509.0,4547.0,Visualizer for pandas data structures.,30.0,29,True,2024-03-07 14:03:25.000,3.11.0,181.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",1117.0,1094.0,https://pypi.org/project/dtale,2024-03-07 14:02:27.000,23.0,52124.0,57932.0,https://anaconda.org/conda-forge/dtale,2024-03-07 14:28:38.963,272988.0,,,,,3.0,,,-1.0,,,,,,,,,,,,,,,,, +338,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2023-06-16 19:26:38.185000,2022-07-07 05:16:43,738.0,,445.0,41.0,124.0,66.0,154.0,4298.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,1191.0,1158.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,33.0,143713.0,144254.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,18402.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +339,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2024-01-12 14:48:30.000000,2024-01-12 14:48:30,249.0,,267.0,46.0,50.0,26.0,94.0,3841.0,A simple command-line utility for querying and monitoring GPU status.,17.0,29,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,5334.0,5196.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,138.0,923978.0,930866.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,282447.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +340,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2024-04-25 05:08:54.000000,2024-03-15 19:57:42,1777.0,50.0,571.0,39.0,825.0,472.0,283.0,3610.0,Time series forecasting with PyTorch.,45.0,29,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,10.0,,https://pypi.org/project/pytorch-forecasting,2020-07-26 21:35:43.000,10.0,52438.0,53723.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,55267.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +341,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2024-03-20 16:17:12.000000,2022-04-29 04:19:24,1698.0,,399.0,45.0,1085.0,6.0,353.0,3227.0,Accelerated deep learning R&D.,104.0,29,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1143.0,1105.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,38.0,9727.0,9727.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +342,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2022-02-11 16:25:24.000000,2021-02-25 05:05:09,452.0,,672.0,110.0,72.0,99.0,123.0,2975.0,Productivity Tools for Plotly + Pandas.,38.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],10745.0,10566.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,179.0,72992.0,72992.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +343,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2024-03-22 11:10:03.000000,2023-06-20 03:14:12,435.0,,289.0,33.0,476.0,33.0,30.0,2944.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,29,True,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],1198.0,1152.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,46.0,133966.0,134239.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,9836.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +344,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2024-04-15 09:57:54.000000,2024-04-13 08:53:37,1167.0,25.0,385.0,49.0,74.0,142.0,478.0,2932.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",26.0,29,True,2024-04-10 12:40:10.000,1.1.7,90.0,mljar-supervised,conda-forge/mljar-supervised,,,,109.0,107.0,https://pypi.org/project/mljar-supervised,2024-04-10 12:40:10.000,2.0,4000.0,4400.0,https://anaconda.org/conda-forge/mljar-supervised,2024-04-15 06:59:59.678,13627.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +345,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2024-04-12 10:18:28.000000,2024-04-12 08:57:57,3501.0,61.0,515.0,108.0,347.0,396.0,683.0,2688.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",81.0,29,False,2015-03-31 16:33:30.000,2.0,20.0,essentia,,,,,647.0,627.0,https://pypi.org/project/essentia,2023-10-27 09:13:56.000,20.0,17705.0,17705.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +346,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2024-04-25 09:55:02.000000,2024-03-28 13:33:26,1569.0,36.0,319.0,37.0,331.0,39.0,156.0,2644.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,37.0,29,True,2024-03-12 11:08:12.000,2.4.3,39.0,shapash,,,,['jupyter'],150.0,148.0,https://pypi.org/project/shapash,2024-03-12 11:08:12.000,2.0,7287.0,7287.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +347,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2024-02-01 01:44:20.000000,2023-12-11 13:43:52,1053.0,,443.0,126.0,143.0,192.0,247.0,2602.0,PYthon svg GrAph plotting Library.,77.0,29,False,2023-11-21 15:34:11.000,3.0.4,80.0,pygal,conda-forge/pygal,,,,638.0,,https://pypi.org/project/pygal,2023-11-21 15:34:11.000,638.0,309687.0,312294.0,https://anaconda.org/conda-forge/pygal,2023-11-21 17:04:08.093,39112.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +348,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2024-04-23 23:08:36.000000,2023-12-03 09:09:14,2415.0,,254.0,27.0,1131.0,76.0,224.0,2568.0,Database system for AI-powered apps.,73.0,29,True,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,,['pytorch'],142.0,142.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,9047.0,28646.0,,,,,,,,3.0,411586.0,,,georgia-tech-db/evadb,,,,,,,,,,,,,,,, +349,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,95.0,1045.0,260.0,297.0,2548.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,29,False,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1535.0,1513.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,77967.0,77967.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +350,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2024-03-18 12:42:13.000000,2018-08-19 12:37:47,130.0,,282.0,66.0,60.0,26.0,39.0,2400.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,29,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],4860.0,4782.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,78.0,566310.0,568426.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,171469.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +351,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2024-04-20 10:29:05.000000,2024-04-08 19:42:17,436.0,17.0,809.0,90.0,283.0,188.0,102.0,2311.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",73.0,29,True,2024-04-08 20:03:12.000,0.6.1,12.0,aif360,conda-forge/aif360,,,,421.0,404.0,https://pypi.org/project/aif360,2024-04-08 20:03:12.000,17.0,17786.0,18000.0,https://anaconda.org/conda-forge/aif360,2024-04-09 06:44:48.814,9235.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +352,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,304.0,64.0,14.0,28.0,46.0,2248.0,Stand-alone language identification system.,9.0,29,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,11266.0,11049.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,217.0,443663.0,443663.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +353,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2024-04-24 16:02:47.000000,2024-04-24 16:02:46,725.0,10.0,212.0,37.0,535.0,141.0,234.0,2084.0,"Algorithms for outlier, adversarial and drift detection.",22.0,29,False,2024-04-17 16:12:46.000,0.12.0,38.0,alibi-detect,,,,,434.0,428.0,https://pypi.org/project/alibi-detect,2024-04-17 16:12:46.000,6.0,34362.0,34362.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +354,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2024-04-04 12:44:05.000000,2024-04-04 12:44:05,521.0,4.0,401.0,85.0,104.0,79.0,259.0,2017.0,bt - flexible backtesting for Python.,32.0,29,True,2023-11-20 03:03:12.000,1.0.0,26.0,bt,conda-forge/bt,,,,1628.0,1600.0,https://pypi.org/project/bt,2023-11-20 03:03:12.000,28.0,6556.0,7169.0,https://anaconda.org/conda-forge/bt,2023-11-20 16:37:06.276,22090.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +355,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2024-02-13 19:24:57.000000,2024-02-01 18:50:30,675.0,3.0,400.0,40.0,62.0,19.0,270.0,1866.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,29,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,1576.0,1554.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,40105.0,40826.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,31020.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +356,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2024-04-22 12:16:09.000000,2024-02-07 13:16:15,2447.0,2.0,437.0,76.0,1264.0,148.0,682.0,1798.0,Gaussian processes in TensorFlow.,84.0,29,True,2024-02-07 15:19:13.000,2.9.1,49.0,gpflow,conda-forge/gpflow,,,['tensorflow'],678.0,641.0,https://pypi.org/project/gpflow,2024-02-07 15:19:13.000,37.0,32396.0,32758.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,25748.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +357,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2024-03-18 00:35:46.000000,2024-03-18 00:35:45,446.0,6.0,282.0,60.0,103.0,22.0,100.0,1781.0,ffn - a financial function library for Python.,32.0,29,True,2023-12-31 16:05:45.000,1.0.1,33.0,ffn,conda-forge/ffn,,,,479.0,447.0,https://pypi.org/project/ffn,2023-12-31 15:47:45.000,32.0,152258.0,152455.0,https://anaconda.org/conda-forge/ffn,2023-12-31 19:11:58.314,7124.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +358,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2024-04-25 03:58:29.000000,2024-02-07 20:20:03,285.0,2.0,355.0,51.0,78.0,78.0,111.0,1779.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,42.0,29,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],6126.0,5963.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,163.0,171330.0,172467.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,79650.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +359,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2024-02-16 16:14:43.000000,2024-02-16 16:14:36,365.0,1.0,255.0,47.0,312.0,232.0,184.0,1749.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,43.0,29,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],311.0,310.0,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,1.0,466885.0,466885.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +360,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2024-04-03 21:54:35.000000,2024-04-03 21:54:35,1591.0,2.0,281.0,55.0,138.0,79.0,183.0,1746.0,"CUDA integration for Python, plus shiny features.",82.0,29,True,2024-01-03 16:54:41.000,2024.1,53.0,pycuda,conda-forge/pycuda,,,,3015.0,2790.0,https://pypi.org/project/pycuda,2024-01-03 16:54:26.000,225.0,44081.0,52172.0,https://anaconda.org/conda-forge/pycuda,2024-01-06 20:33:04.514,299396.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +361,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2024-02-13 11:22:02.000000,2024-02-13 11:18:32,1805.0,6.0,376.0,52.0,125.0,42.0,421.0,1667.0,Reinforcement Learning environments based on the 1993 game Doom.,54.0,29,True,2023-12-16 01:55:15.000,1.2.3,29.0,vizdoom,,,,,250.0,231.0,https://pypi.org/project/vizdoom,2023-12-16 01:55:15.000,19.0,3458.0,3580.0,,,,,,,,2.0,11849.0,,,Farama-Foundation/ViZDoom,,,,,,,,,,,,,,,, +362,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2024-04-25 08:57:36.000000,2024-04-25 00:46:12,1435.0,32.0,269.0,73.0,105.0,34.0,55.0,1240.0,Model analysis tools for TensorFlow.,57.0,29,True,2024-04-25 08:57:36.000,0.46.0,57.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",25.0,2.0,https://pypi.org/project/tensorflow-model-analysis,2024-04-25 08:57:36.000,23.0,75869.0,75869.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +363,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2024-04-18 18:42:57.000000,2024-04-18 16:30:07,1955.0,35.0,318.0,26.0,2261.0,86.0,226.0,1209.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,42.0,29,True,2024-04-18 18:42:57.000,0.35.0,55.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",100.0,97.0,https://pypi.org/project/raiwidgets,2024-04-18 18:42:57.000,3.0,3755.0,3755.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +364,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2024-04-19 17:20:53.000000,2024-04-19 17:19:52,1091.0,44.0,206.0,23.0,136.0,23.0,191.0,1070.0,Survival analysis built on top of scikit-learn.,20.0,29,False,2023-12-30 23:36:40.000,0.22.2,28.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],475.0,461.0,https://pypi.org/project/scikit-survival,2023-12-30 23:36:40.000,14.0,92385.0,95262.0,https://anaconda.org/conda-forge/scikit-survival,2023-12-31 00:55:10.043,83440.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +365,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2023-06-16 16:10:42.597000,2022-02-17 22:38:15,288.0,,454.0,42.0,176.0,93.0,102.0,1028.0,"Utilities for working with image data, text data, and sequence data.",52.0,29,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],1577.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,1577.0,5761045.0,5792527.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2203803.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +366,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2024-03-29 21:39:55.734000,2024-03-29 19:58:22,669.0,3.0,101.0,14.0,95.0,72.0,62.0,838.0,A Python nearest neighbor descent for approximate nearest neighbors.,27.0,29,True,2024-03-29 20:37:40.000,0.5.12,31.0,pynndescent,conda-forge/pynndescent,,,,6237.0,6157.0,https://pypi.org/project/pynndescent,2024-03-29 20:37:40.000,80.0,1118458.0,1158785.0,https://anaconda.org/conda-forge/pynndescent,2024-03-29 21:39:55.734,1814746.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +367,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2024-04-18 00:57:35.551000,2024-04-17 11:02:55,1309.0,7.0,149.0,50.0,57.0,21.0,69.0,829.0,Computer Vision in Python.,35.0,29,True,2024-04-17 11:27:48.000,1.4.15,61.0,mahotas,conda-forge/mahotas,,,,1376.0,1245.0,https://pypi.org/project/mahotas,2024-04-17 11:27:48.000,131.0,15371.0,24096.0,https://anaconda.org/conda-forge/mahotas,2024-04-18 00:57:35.551,401373.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +368,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2024-04-24 20:00:06.000000,2024-04-24 20:00:06,1350.0,18.0,128.0,25.0,469.0,13.0,132.0,817.0,A Comparative Framework for Multimodal Recommender Systems.,21.0,29,True,2024-03-21 07:26:15.000,2.1.0,56.0,cornac,conda-forge/cornac,,,,224.0,208.0,https://pypi.org/project/cornac,2024-03-21 07:43:30.000,16.0,53321.0,61294.0,https://anaconda.org/conda-forge/cornac,2024-04-04 19:07:37.308,366758.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +369,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2024-04-24 18:31:47.000000,2024-04-24 17:57:52,3096.0,71.0,112.0,16.0,271.0,13.0,143.0,754.0,Python bindings for MPI.,26.0,29,True,2024-04-14 10:39:44.000,3.1.6,28.0,mpi4py,conda-forge/mpi4py,,,,775.0,,https://pypi.org/project/mpi4py,2024-04-14 10:34:55.000,775.0,224631.0,282656.0,https://anaconda.org/conda-forge/mpi4py,2024-04-15 09:42:38.104,2415848.0,,,,,2.0,22730.0,,,,,,,,,,,,,,,,,,, +370,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2024-04-17 20:26:40.000000,2024-04-05 10:50:01,822.0,23.0,74.0,26.0,384.0,104.0,232.0,565.0,"Simple, concise geographical visualization in Python.",32.0,29,True,2024-04-05 15:56:28.000,1.12.0,63.0,geoviews,conda-forge/geoviews,,,,1000.0,958.0,https://pypi.org/project/geoviews,2024-04-05 10:57:38.000,42.0,11061.0,16110.0,https://anaconda.org/conda-forge/geoviews,2024-04-05 16:04:19.139,217115.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +371,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2024-04-12 14:20:43.000000,2024-04-12 14:18:33,232.0,8.0,57.0,13.0,204.0,13.0,187.0,314.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,29,True,2024-04-12 14:20:43.000,3.9.1,72.0,pystan,conda-forge/pystan,,,,10028.0,9764.0,https://pypi.org/project/pystan,2024-04-12 14:20:43.000,264.0,1903926.0,1937017.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2812769.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +372,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-11-21 01:05:50.000000,2020-01-31 13:06:18,347.0,,4815.0,650.0,372.0,498.0,436.0,15336.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,28,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,597.0,558.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,39.0,958.0,958.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +373,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2024-04-24 11:17:34.000000,2023-12-28 07:35:14,2224.0,,2806.0,197.0,3639.0,1223.0,4115.0,12062.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",159.0,28,True,2023-10-19 03:47:18.000,2.7.0,9.0,paddledet,,,,['paddle'],1.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,1.0,772.0,772.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +374,pandas-ai,gventuri/pandas-ai,others,,https://github.com/Sinaptik-AI/pandas-ai,https://github.com/Sinaptik-AI/pandas-ai,,2023-04-22 12:58:01.000,2024-04-25 14:42:05.000000,2024-04-19 09:22:45,924.0,197.0,973.0,96.0,432.0,223.0,331.0,10967.0,"Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational..",74.0,28,False,2024-04-19 09:23:21.000,2.0.35,100.0,pandas-ai,,,,,2896.0,2896.0,https://pypi.org/project/pandas-ai,,,,,,,,,,,,2.0,,,,Sinaptik-AI/pandas-ai,,,,,,,,,,,,,,,, +375,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2024-04-03 17:00:30.000000,2024-04-03 17:00:29,338.0,5.0,1387.0,429.0,50.0,98.0,87.0,10371.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,True,2022-09-21 20:20:42.649,4.0.6,44.0,dopamine-rl,,,,['tensorflow'],57.0,21.0,https://pypi.org/project/dopamine-rl,2022-09-21 20:20:42.649,36.0,27311.0,27311.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +376,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,909.0,267.0,98.0,82.0,81.0,7313.0,Visualizations for machine learning datasets.,31.0,28,True,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],243.0,235.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,147345.0,147345.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +377,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2023-10-24 07:07:43.000000,2023-08-16 23:55:56,220.0,,1325.0,175.0,46.0,79.0,238.0,6807.0,2D and 3D Face alignment library build using pytorch.,26.0,28,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],33.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,12.0,82326.0,82326.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +378,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,AGPL-3.0,2013-04-05 23:14:27.000,2023-09-01 15:42:16.000000,2023-08-31 21:49:25,6626.0,,1586.0,625.0,2111.0,453.0,1338.0,6334.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,28,False,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,59.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,38.0,1774.0,1774.0,,,,,,,,3.0,8.0,,,numenta/nupic-legacy,,,,,,,,,,,,,,,, +379,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1355.0,348.0,14.0,42.0,65.0,6325.0,Python library for processing Chinese text.,8.0,28,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1361.0,1319.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,42.0,90413.0,90413.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +380,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1368.0,204.0,158.0,44.0,227.0,5491.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],811.0,757.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,54.0,1582.0,1582.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +381,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2024-03-18 16:23:03.000000,2018-07-25 01:28:08,1796.0,,780.0,273.0,438.0,221.0,329.0,4816.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,28,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],354.0,314.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,40.0,443.0,443.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,, +382,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2024-03-07 14:59:40.000000,2022-08-06 21:47:18,182.0,,431.0,71.0,61.0,101.0,56.0,4450.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,28,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,1653.0,1646.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,7.0,246200.0,246200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +383,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2024-03-16 11:54:12.000000,2022-04-01 13:57:36,131.0,,965.0,145.0,31.0,46.0,77.0,4245.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,28,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,8491.0,8294.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,197.0,200022.0,200397.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,13895.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +384,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2024-04-13 16:57:34.000000,2024-03-19 16:05:30,525.0,2.0,718.0,175.0,82.0,8.0,279.0,4159.0,A python wrapper for Alpha Vantage API for financial data.,43.0,28,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,561.0,529.0,https://pypi.org/project/alpha_vantage,2020-12-21 02:36:15.000,32.0,31574.0,31743.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,6592.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +385,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2024-03-02 15:10:25.000000,2021-05-10 18:34:53,57.0,,407.0,37.0,56.0,118.0,43.0,3957.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],13790.0,13670.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,120.0,262855.0,262855.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +386,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,971.0,217.0,408.0,140.0,402.0,3848.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1302.0,1042.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,260.0,1988.0,1988.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +387,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2024-04-24 20:12:12.000000,2024-04-17 02:40:53,1439.0,75.0,343.0,69.0,1329.0,96.0,83.0,3392.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,36.0,28,True,2024-04-09 23:12:45.000,1.1.1,16.0,lit-nlp,conda-forge/lit-nlp,,,,33.0,31.0,https://pypi.org/project/lit-nlp,2024-04-09 23:12:45.000,2.0,5175.0,6779.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,68993.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +388,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2024-04-15 17:33:05.000000,2024-04-15 17:32:17,1198.0,3.0,409.0,82.0,54.0,59.0,202.0,3372.0,A library of reinforcement learning components and agents.,85.0,28,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],201.0,198.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,2669.0,2871.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,8305.0,,,,,2.0,,,,google-deepmind/acme,,,,,,,,,,,,,,,, +389,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2024-04-19 04:00:18.000000,2024-02-22 12:17:17,1487.0,8.0,240.0,18.0,1741.0,287.0,726.0,3349.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,53.0,28,False,2024-01-31 13:08:55.000,0.18.1,60.0,deepchecks,,,,,372.0,365.0,https://pypi.org/project/deepchecks,2024-01-31 13:08:49.000,7.0,41527.0,41554.0,,,,,,,,2.0,828.0,,,,,,,,,,,,,,,,,,, +390,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,455.0,82.0,245.0,61.0,154.0,3031.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,28,False,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,184.0,182.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,2.0,60581.0,60582.0,,,,,,,,2.0,77.0,,,,,,,,,,,,,,,,,,, +391,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2024-04-10 12:25:23.000000,2021-10-29 06:15:49,2535.0,,418.0,63.0,933.0,315.0,745.0,2890.0,StellarGraph - Machine Learning on Graphs.,37.0,28,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],266.0,258.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,8.0,7495.0,7495.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +392,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2024-01-06 17:57:28.000000,2024-01-06 17:57:28,619.0,,330.0,46.0,120.0,64.0,136.0,2837.0,A python library for decision tree visualization and model interpretation.,26.0,28,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,1156.0,1132.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,24.0,131601.0,133247.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,67523.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +393,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2024-03-18 21:00:38.000000,2024-03-18 20:31:55,556.0,8.0,472.0,96.0,43.0,89.0,240.0,2714.0,Learning to Rank in TensorFlow.,34.0,28,True,2024-03-18 21:00:38.000,0.5.5,23.0,tensorflow_ranking,,,,['tensorflow'],13.0,,https://pypi.org/project/tensorflow_ranking,2024-03-18 21:00:38.000,13.0,93963.0,93963.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +394,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2024-04-24 07:18:21.000000,2024-04-24 07:18:21,3528.0,8.0,341.0,153.0,1173.0,32.0,60.0,2691.0,Neural Network Libraries.,75.0,28,True,2023-12-07 00:57:13.000,1.38.0,78.0,nnabla,,,,,55.0,,https://pypi.org/project/nnabla,2023-12-06 09:31:24.000,55.0,3130.0,3141.0,,,,,,,,3.0,916.0,,-1.0,,,,,,,,,,,,,,,,, +395,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2024-04-25 13:31:42.000000,2024-04-25 13:20:13,107.0,24.0,319.0,27.0,297.0,42.0,329.0,2390.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,8.0,28,True,2024-04-25 13:54:25.000,0.2.0,19.0,adapter-transformers,,,,['huggingface'],49.0,42.0,https://pypi.org/project/adapter-transformers,2023-12-16 14:14:02.000,7.0,119964.0,119964.0,,,,,,,,2.0,,,,adapter-hub/adapters,,,,,,,,,,,,,,,, +396,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2024-01-21 16:47:04.000000,2024-01-21 16:46:47,1134.0,,336.0,44.0,57.0,67.0,207.0,2345.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,28,True,2024-01-21 16:17:36.000,1.3.1,35.0,spektral,,,,['tensorflow'],293.0,286.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,6795.0,6795.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +397,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Intel,2019-02-26 10:10:56.000,2024-04-24 00:32:34.000000,2024-04-18 15:24:07,660.0,9.0,247.0,53.0,649.0,146.0,225.0,2289.0,Algorithms for explaining machine learning models.,21.0,28,False,2024-04-18 15:30:25.000,0.9.6,34.0,alibi,,,,,618.0,591.0,https://pypi.org/project/alibi,2024-04-18 15:29:10.000,27.0,21185.0,21185.0,,,,,,,,2.0,,,-1.0,,,,,,,,,,,,,,,,, +398,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2024-04-25 01:12:38.000000,2024-04-25 01:12:38,1981.0,221.0,126.0,28.0,179.0,16.0,22.0,1867.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,28,True,2024-03-21 07:36:40.000,0.5.1,145.0,labml,,,,,151.0,145.0,https://pypi.org/project/labml,2024-03-21 07:36:40.000,6.0,4372.0,4372.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +399,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2024-04-04 17:23:09.000000,2024-04-04 17:23:09,848.0,7.0,384.0,36.0,872.0,164.0,294.0,1795.0,A Python package to assess and improve fairness of machine learning models.,81.0,28,True,2023-12-19 14:14:09.000,0.10.0,20.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],32.0,3.0,https://pypi.org/project/fairlearn,2023-12-19 02:11:12.000,29.0,251576.0,252346.0,https://anaconda.org/conda-forge/fairlearn,2023-12-20 11:56:56.090,31574.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +400,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2024-04-25 12:39:08.000000,2024-04-25 12:38:32,208.0,16.0,195.0,32.0,19.0,5.0,88.0,1621.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",15.0,28,True,2024-04-25 11:03:28.000,0.1.901,86.0,autoviz,conda-forge/autoviz,,,,674.0,667.0,https://pypi.org/project/autoviz,2024-04-25 11:03:28.000,7.0,27604.0,29116.0,https://anaconda.org/conda-forge/autoviz,2024-04-02 17:09:49.893,48390.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +401,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2024-01-05 03:23:07.000000,2022-08-31 01:52:51,509.0,,308.0,103.0,49.0,8.0,151.0,1573.0,Distributed Deep learning with Keras & Spark.,27.0,28,False,2024-01-05 03:23:07.000,5.2.1,42.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",78.0,75.0,https://pypi.org/project/elephas,2024-01-05 03:23:07.000,3.0,60113.0,60355.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,13607.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +402,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2023-09-26 23:11:11.000000,2023-09-26 23:11:11,163.0,,180.0,34.0,72.0,20.0,52.0,1472.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,28,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],2893.0,2878.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,15.0,1434437.0,1434949.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,19999.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +403,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2024-04-24 08:30:34.000000,2024-04-24 08:30:23,584.0,22.0,410.0,30.0,50.0,16.0,125.0,1386.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,29.0,28,False,2024-02-16 09:48:48.000,2.3.2,25.0,minisom,,,,,591.0,569.0,https://pypi.org/project/minisom,2024-02-16 09:47:58.000,22.0,22574.0,22574.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +404,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2024-04-22 13:41:28.000000,2024-04-22 13:41:26,1044.0,29.0,113.0,23.0,115.0,32.0,52.0,1290.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",23.0,28,True,2024-03-12 03:37:43.000,1.4.3,46.0,imodels,,,,,77.0,70.0,https://pypi.org/project/imodels,2024-03-11 20:28:16.000,7.0,124873.0,124873.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +405,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2024-03-02 16:58:45.000000,2023-06-06 09:46:40,415.0,,328.0,39.0,301.0,24.0,200.0,1226.0,A research toolkit for particle swarm optimization in Python.,45.0,28,True,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,395.0,373.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,22.0,18353.0,18353.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +406,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2024-01-17 21:03:09.000000,2024-01-17 21:03:09,532.0,,420.0,51.0,39.0,16.0,139.0,1218.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,28,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,2597.0,2560.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,37.0,397335.0,398205.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,41783.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +407,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2024-04-20 11:36:12.000000,2024-04-20 11:36:11,511.0,25.0,112.0,23.0,350.0,31.0,270.0,1154.0,Extra blocks for scikit-learn pipelines.,67.0,28,True,2024-04-16 14:59:21.000,0.8.2,50.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],149.0,141.0,https://pypi.org/project/scikit-lego,2024-04-16 12:18:11.000,8.0,21529.0,22531.0,https://anaconda.org/conda-forge/scikit-lego,2024-04-17 13:14:18.003,47130.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +408,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2024-02-01 04:40:03.000000,2023-04-19 21:43:19,547.0,,174.0,33.0,86.0,88.0,122.0,903.0,A scikit-learn based module for multi-label et. al. classification.,28.0,28,True,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,,['sklearn'],1575.0,1550.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,25.0,94032.0,94032.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +409,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2024-04-20 18:11:50.000000,2024-04-20 18:11:05,3712.0,6.0,322.0,66.0,685.0,39.0,527.0,820.0,The Classical Language Toolkit.,121.0,28,True,2024-04-20 18:11:50.000,1.2.5,215.0,cltk,,,,,301.0,259.0,https://pypi.org/project/cltk,2024-04-20 18:11:50.000,42.0,1751.0,1751.0,,,,,,,,2.0,64.0,,,,,,,,,,,,,,,,,,, +410,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2024-04-14 07:31:10.000000,2024-04-14 07:29:44,325.0,53.0,89.0,19.0,115.0,36.0,79.0,578.0,pyspark methods to enhance developer productivity.,27.0,28,True,2024-02-13 12:31:37.000,0.10.3,16.0,quinn,,,,['spark'],83.0,76.0,https://pypi.org/project/quinn,2024-02-13 12:31:37.000,7.0,797183.0,797183.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,, +411,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2023-11-03 15:14:22.000000,2023-11-03 14:46:16,569.0,,38.0,11.0,69.0,7.0,26.0,208.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,28,False,2023-09-22 06:31:01.000,0.7.11,46.0,blis,conda-forge/cython-blis,,,,42213.0,41957.0,https://pypi.org/project/blis,2023-09-22 06:27:17.000,256.0,7602183.0,7650585.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2081321.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +412,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2024-03-26 06:01:50.000000,2023-10-12 07:20:40,1894.0,,1067.0,232.0,455.0,67.0,265.0,17022.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,27,True,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,50993.0,51406.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,17.0,23545.0,3.0,,,,,,,,,,,,,,,,,,,, +413,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2024-04-05 19:03:17.000000,2022-11-08 22:11:16,98.0,,1772.0,205.0,73.0,109.0,36.0,10052.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,27,False,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,12.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,10.0,54309.0,54309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +414,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2023-07-09 00:54:49.000000,2023-04-19 16:47:52,581.0,,1146.0,350.0,79.0,48.0,231.0,7909.0,StarCraft II Learning Environment.,39.0,27,True,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,755.0,729.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,2947.0,3337.0,,,,,,,,3.0,31238.0,,,google-deepmind/pysc2,,,,,,,,,,,,,,,, +415,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1500.0,130.0,51.0,155.0,141.0,7747.0,A PyTorch implementation of EfficientNet.,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],44.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,43.0,143670.0,222123.0,,,,,,,,2.0,3844240.0,,,,,,,,,,,,,,,,,,, +416,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,,1639.0,459.0,698.0,33.0,441.0,7296.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,27,False,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,,['tensorflow'],40.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,40.0,2019.0,2042.0,,,,,,,,2.0,2178.0,,,,,,,,,,,,,,,,,,, +417,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2023-10-06 08:13:53.418000,2023-01-27 13:12:44,652.0,,1004.0,146.0,93.0,88.0,305.0,6183.0,A Python scikit for building and analyzing recommender systems.,45.0,27,False,2022-09-23 17:17:00.724,1.1.3,11.0,scikit-surprise,conda-forge/scikit-surprise,,,,71.0,21.0,https://pypi.org/project/scikit-surprise,2022-09-23 17:17:00.724,50.0,102842.0,110803.0,https://anaconda.org/conda-forge/scikit-surprise,2023-10-06 08:13:53.418,358256.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +418,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2024-03-21 14:27:34.000000,2023-03-29 07:02:37,553.0,,867.0,125.0,64.0,136.0,74.0,5023.0,Image augmentation library in Python for machine learning.,23.0,27,False,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,771.0,742.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,29.0,8732.0,8732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +419,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2023-07-29 21:28:21.000000,2023-07-05 18:14:28,901.0,,548.0,104.0,617.0,89.0,606.0,4198.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,27,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],89.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,89.0,586801.0,588537.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,76426.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +420,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2024-04-05 14:20:02.000000,2024-04-05 14:20:01,251.0,2.0,833.0,52.0,52.0,65.0,106.0,4157.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,17.0,27,True,2023-04-07 19:27:35.000,2.5.3,32.0,facenet-pytorch,,,,['pytorch'],1741.0,1722.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000,19.0,53766.0,70735.0,,,,,,,,3.0,899402.0,,,,,,,,,,,,,,,,,,, +421,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2024-04-23 02:12:59.000000,2024-04-23 02:12:59,1138.0,1.0,720.0,60.0,1013.0,167.0,739.0,4071.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,27,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],123.0,120.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,3.0,9337.0,9337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +422,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-07-10 10:34:11.000000,2023-04-27 20:08:56,632.0,,964.0,283.0,226.0,12.0,356.0,3864.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,True,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,939330.0,939739.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,21285.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +423,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2024-04-09 15:08:12.000000,2024-04-09 15:08:11,2114.0,6.0,538.0,144.0,239.0,39.0,634.0,3281.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,85.0,27,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],444.0,442.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,2.0,717.0,717.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +424,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2024-04-24 18:10:14.000000,2023-09-10 15:15:16,1059.0,,236.0,61.0,113.0,7.0,271.0,3193.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,27,True,2023-09-10 19:39:46.000,0.3.2,22.0,vidgear,,,,,534.0,525.0,https://pypi.org/project/vidgear,2023-09-10 19:39:46.000,9.0,15107.0,15126.0,,,,,,,,3.0,1165.0,,,,,,,,,,,,,,,,,,, +425,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2024-01-05 06:03:44.000000,2024-01-02 20:16:48,4161.0,,364.0,81.0,63.0,154.0,189.0,3174.0,a library for audio and music analysis.,25.0,27,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,480.0,452.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,28.0,4892.0,12466.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,643823.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +426,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2024-02-12 06:44:22.000000,2020-04-27 18:40:41,522.0,,1016.0,166.0,215.0,43.0,146.0,3088.0,Performance analysis of predictive (alpha) stock factors.,26.0,27,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,704.0,686.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,18.0,1454.0,1731.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,20567.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +427,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2024-04-18 09:56:29.000000,2024-04-18 09:56:29,1625.0,117.0,624.0,44.0,28.0,2.0,451.0,2934.0,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction.,31.0,27,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],21.0,21.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,1025.0,1025.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +428,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-12-04 12:10:57.449000,2023-11-29 13:26:08,135.0,,264.0,52.0,19.0,36.0,97.0,2836.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,27,True,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,2186.0,2166.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,20.0,64877.0,65622.0,https://anaconda.org/conda-forge/sweetviz,2023-12-04 12:10:57.449,28338.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +429,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2024-03-04 15:26:06.000000,2022-09-28 17:12:28,249.0,,303.0,29.0,320.0,76.0,38.0,2664.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,27,False,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],904.0,903.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,18693.0,18782.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2862.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +430,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2024-04-10 16:58:39.000000,2024-01-30 18:07:43,695.0,34.0,230.0,35.0,147.0,17.0,142.0,2290.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,31.0,27,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,176.0,172.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,4.0,14468.0,14474.0,,,,,,,,3.0,300.0,,,,,,,,,,,,,,,,,,, +431,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,,329.0,78.0,55.0,161.0,68.0,2261.0,Multilingual text (NLP) processing toolkit.,26.0,27,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1324.0,1229.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,95.0,107698.0,107698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +432,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2024-03-06 06:56:13.000000,2024-03-06 06:55:14,388.0,3.0,285.0,56.0,14.0,22.0,79.0,2197.0,Beautiful visualizations of how language differs among document types.,14.0,27,True,2024-03-06 06:56:13.000,0.2.1,150.0,scattertext,conda-forge/scattertext,,,,545.0,534.0,https://pypi.org/project/scattertext,2024-03-06 06:56:13.000,11.0,15389.0,16479.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,87250.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +433,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-09-22 23:38:28.000000,2023-04-03 00:19:55,1816.0,,255.0,89.0,124.0,33.0,230.0,2173.0,"NLP, before and after spaCy.",35.0,27,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,1865.0,1750.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,115.0,44332.0,46019.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,140056.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +434,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,317.0,64.0,38.0,97.0,160.0,2170.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,False,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],373.0,349.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,24.0,11217.0,11217.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +435,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2023-09-09 21:39:29.000000,2021-07-09 11:06:18,56.0,,493.0,41.0,24.0,66.0,38.0,2123.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,27,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],5118.0,5067.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,51.0,79109.0,79340.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,11565.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +436,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2024-02-21 23:17:37.000000,2024-02-21 23:13:33,479.0,8.0,385.0,63.0,153.0,7.0,92.0,2098.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,27,True,2024-02-21 23:17:37.000,3.3.0,22.0,pytextrank,,,,,643.0,626.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,17.0,41796.0,41796.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +437,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2024-04-08 21:03:52.579000,2021-07-16 09:03:20,66.0,,463.0,38.0,43.0,64.0,58.0,2058.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,27,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],2077.0,2063.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,87662.0,92024.0,https://anaconda.org/anaconda/efficientnet,2024-04-08 21:03:52.579,491.0,,,,,3.0,256712.0,,,,,,,,,,,,,,,,,,, +438,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2024-04-25 14:04:11.000000,2024-04-25 03:46:43,866.0,10.0,446.0,59.0,331.0,113.0,92.0,1874.0,Library for training machine learning models with privacy for training data.,58.0,27,True,2024-02-14 19:18:00.000,0.9.0,31.0,tensorflow-privacy,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow-privacy,2024-02-14 19:08:50.000,15.0,19155.0,19157.0,,,,,,,,2.0,151.0,,,,,,,,,,,,,,,,,,, +439,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2024-03-19 21:59:57.000000,2024-03-19 21:59:57,1652.0,16.0,160.0,61.0,68.0,65.0,130.0,1799.0,A Python toolbox for gaining geometric insights into high-dimensional data.,22.0,27,True,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,406.0,396.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,10.0,1028.0,1028.0,,,,,,,,3.0,32.0,,,,,,,,,,,,,,,,,,, +440,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2023-10-08 14:28:44.000000,2023-10-08 14:28:43,1157.0,,212.0,36.0,1081.0,25.0,496.0,1730.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,27,True,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],277.0,274.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,3.0,2609.0,3163.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,17732.0,,,,,2.0,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,,,,, +441,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2024-04-22 10:30:49.000000,2024-04-22 10:30:48,671.0,33.0,269.0,27.0,187.0,10.0,390.0,1617.0,Hyperparameter Experiments with TensorFlow and Keras.,23.0,27,True,2024-04-21 09:02:06.000,1.4,18.0,talos,,,,['tensorflow'],182.0,174.0,https://pypi.org/project/talos,2024-04-21 09:02:29.000,8.0,2024.0,2024.0,,,,,,,,2.0,,,3.0,,,,,,,,,,,,,,,,, +442,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2024-04-25 08:29:55.000000,2024-04-24 04:08:47,6391.0,131.0,287.0,47.0,2688.0,311.0,1406.0,1571.0,cuGraph - RAPIDS Graph Analytics Library.,112.0,27,True,2024-04-10 21:01:45.000,24.04.00,35.0,cugraph,conda-forge/libcugraph,,,,4.0,2.0,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,2.0,255.0,765.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,18383.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +443,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2024-03-29 20:40:19.000000,2024-03-29 11:21:07,2828.0,12.0,174.0,25.0,667.0,118.0,443.0,1520.0,A Python library for learning and evaluating knowledge graph embeddings.,38.0,27,True,2024-02-19 21:29:27.000,1.10.2,47.0,pykeen,,,,,6.0,,https://pypi.org/project/pykeen,2024-02-19 21:25:43.000,6.0,4389.0,4392.0,,,,,,,,2.0,177.0,,,,,,,,,,,,,,,,,,, +444,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,312.0,73.0,742.0,58.0,168.0,1478.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,425.0,394.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,31.0,2353.0,2353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +445,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2024-03-11 14:26:08.000000,2024-03-11 14:26:08,688.0,4.0,155.0,22.0,125.0,4.0,128.0,1359.0,"Extensible, parallel implementations of t-SNE.",11.0,27,True,2023-11-29 14:50:50.000,1.0.1,27.0,opentsne,conda-forge/opentsne,,,,802.0,778.0,https://pypi.org/project/opentsne,2023-11-29 14:45:37.000,24.0,29722.0,35219.0,https://anaconda.org/conda-forge/opentsne,2023-11-29 23:41:32.898,241878.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +446,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2024-02-29 10:49:59.696000,2024-02-28 20:15:02,673.0,6.0,167.0,48.0,161.0,19.0,381.0,1321.0,moDel Agnostic Language for Exploration and eXplanation.,24.0,27,False,2024-02-28 20:54:37.000,1.7.0,27.0,dalex,conda-forge/dalex,,,,166.0,161.0,https://pypi.org/project/dalex,2024-02-28 20:54:37.000,5.0,17495.0,17812.0,https://anaconda.org/conda-forge/dalex,2024-02-29 10:49:59.696,12378.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +447,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2024-01-31 21:10:59.000000,2020-10-14 13:22:39,167.0,,344.0,71.0,87.0,27.0,26.0,1223.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,23.0,27,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1501.0,1357.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,144.0,27211.0,27567.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,26388.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +448,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2024-02-25 11:40:08.000000,2024-02-08 16:58:25,2080.0,1.0,250.0,41.0,39.0,68.0,590.0,1143.0,"pyclustering is a Python, C++ data mining library.",26.0,27,True,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,686.0,651.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,35.0,49649.0,51042.0,https://anaconda.org/conda-forge/pyclustering,2023-11-16 19:00:50.847,62460.0,,,,,3.0,510.0,,,,,,,,,,,,,,,,,,, +449,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-11-24 07:58:55.401000,2023-11-09 17:20:43,139.0,,111.0,21.0,103.0,37.0,74.0,1113.0,Python 3.8+ toolbox for submitting jobs to Slurm.,23.0,27,True,2023-11-09 17:23:02.000,1.5.1,23.0,submitit,conda-forge/submitit,,,,2510.0,2490.0,https://pypi.org/project/submitit,2023-11-09 17:23:02.000,20.0,348520.0,349322.0,https://anaconda.org/conda-forge/submitit,2023-11-24 07:58:55.401,35310.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +450,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2024-04-25 03:59:20.000000,2024-04-19 16:22:07,1974.0,72.0,364.0,54.0,504.0,156.0,253.0,1109.0,Machine learning on FPGAs using HLS.,60.0,27,True,2023-12-19 21:00:58.000,0.8.1,16.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,2023-12-19 21:00:58.000,,1253.0,1425.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,7402.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +451,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2024-04-25 07:41:00.000000,2024-04-25 07:40:55,1740.0,270.0,72.0,11.0,509.0,63.0,596.0,1089.0,dstack is an open-source orchestration engine for running AI workloads at scale in any cloud or data center...,24.0,27,True,2024-04-15 15:57:44.000,0.18.0,199.0,dstack,,,,,14.0,14.0,https://pypi.org/project/dstack,2024-04-17 12:27:25.000,,2217.0,2217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +452,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2024-03-29 13:25:52.761000,2024-03-27 08:01:51,780.0,11.0,60.0,13.0,127.0,45.0,115.0,937.0,Visualize large time series data with plotly.py.,12.0,27,True,2024-03-27 07:58:10.000,0.10.0,62.0,plotly-resampler,conda-forge/plotly-resampler,,,,1043.0,1031.0,https://pypi.org/project/plotly-resampler,2024-03-27 07:54:02.000,12.0,426387.0,427785.0,https://anaconda.org/conda-forge/plotly-resampler,2024-03-29 13:25:52.761,37758.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +453,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2023-06-16 13:16:30.947000,2023-02-20 00:24:10,1723.0,,185.0,40.0,173.0,61.0,174.0,924.0,A Jupyter - Three.js bridge.,30.0,27,False,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],104.0,30.0,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,62.0,74345.0,81987.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,530975.0,,,,,3.0,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,12.0,2053.0,,,,,,,,,,, +454,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2024-04-13 19:16:27.000000,2024-02-07 23:40:03,16569.0,15.0,359.0,44.0,1615.0,295.0,2961.0,859.0,An open-source application for biological image analysis.,143.0,27,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,,21.0,20.0,https://pypi.org/project/cellprofiler,2023-08-14 19:14:28.000,1.0,621.0,676.0,,,,,,,,3.0,6774.0,,,,,,,,,,,,,,,,,,, +455,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2024-04-25 07:56:48.000000,2024-04-24 11:12:19,601.0,41.0,161.0,32.0,193.0,5.0,100.0,580.0,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python.,32.0,27,True,2024-04-10 11:45:27.000,0.6,12.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],351.0,330.0,https://pypi.org/project/pyriemann,2024-04-10 11:46:01.000,21.0,45287.0,45535.0,https://anaconda.org/conda-forge/pyriemann,2024-04-10 14:21:44.720,5468.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +456,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2024-04-24 18:16:33.000000,2023-08-23 17:20:54,1241.0,,155.0,19.0,717.0,26.0,208.0,478.0,A package built to support working with spatial data using open source python.,44.0,27,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,328.0,311.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,7215.0,8458.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,74593.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +457,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,,1203.0,183.0,213.0,25.0,534.0,8804.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,26,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,,,251.0,,,,,,,,3.0,9804.0,,,,,,,,,,,,,,,,,,, +458,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2023-10-23 02:26:28.000000,2020-05-03 07:13:22,108.0,,595.0,140.0,31.0,70.0,55.0,5532.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1655.0,1606.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,49.0,1669446.0,1669859.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,18623.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +459,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-03-08 08:32:34.000000,2024-03-08 08:24:03,13775.0,93.0,1536.0,141.0,3583.0,845.0,1093.0,5503.0,An Industrial Grade Federated Learning Framework.,100.0,26,True,2024-03-08 08:32:35.000,2.1.0,49.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +460,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2024-03-22 00:24:33.000000,2024-03-22 00:17:00,218.0,4.0,293.0,71.0,179.0,22.0,54.0,4900.0,"A data augmentations library for audio, image, text, and video.",34.0,26,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,116.0,112.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,2250.0,2250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +461,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2024-04-04 13:02:44.000000,2024-04-04 13:02:44,6153.0,1.0,527.0,151.0,1906.0,338.0,1331.0,4405.0,ArrayFire: a general purpose GPU library.,88.0,26,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,9.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,9.0,1691.0,1746.0,,,,,,,,3.0,5904.0,,,,,,,,,,,,,,,,,,, +462,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2024-03-20 17:23:36.000000,2023-10-12 08:57:51,209.0,,310.0,85.0,95.0,48.0,32.0,3479.0,Python library that makes it easy for data scientists to create charts.,25.0,26,True,2023-10-12 09:02:25.000,4.0.5,25.0,chartify,conda-forge/chartify,,,,86.0,76.0,https://pypi.org/project/chartify,2023-10-12 09:02:25.000,10.0,32450.0,32909.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,29849.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +463,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2024-04-19 22:27:39.000000,2024-03-08 19:28:28,465.0,7.0,271.0,50.0,458.0,59.0,256.0,3303.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,40.0,26,True,2024-03-08 20:24:53.000,0.4.11,24.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,4.0,,https://pypi.org/project/hummingbird-ml,2024-03-08 20:21:40.000,4.0,7206.0,8267.0,https://anaconda.org/conda-forge/hummingbird-ml,2024-03-08 22:15:29.532,38943.0,,,,,2.0,441.0,,,,,,,,,,,,,,,,,,, +464,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2024-03-03 01:58:14.000000,2024-03-03 01:31:19,180.0,1.0,384.0,162.0,84.0,100.0,101.0,3182.0,A deep learning library for video understanding research.,55.0,26,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],12.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,12.0,64337.0,64337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +465,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2024-04-22 17:11:22.000000,2024-03-30 09:25:51,4343.0,19.0,579.0,41.0,1002.0,232.0,692.0,3175.0,"A unified, comprehensive and efficient recommendation library.",71.0,26,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,3852.0,3966.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,4707.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +466,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2024-03-19 19:20:10.000000,2024-03-18 19:51:35,2374.0,14.0,685.0,160.0,61.0,7.0,744.0,3077.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,30.0,26,True,2024-03-19 19:20:10.000,1.6.1,21.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,914.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,63920.0,,,,,3.0,4712.0,,,,,,,,,,,,,,,,,,, +467,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-12-19 18:37:18.000000,2023-12-19 18:37:18,17589.0,,1050.0,217.0,3649.0,429.0,1111.0,3006.0,Unified and efficient Machine Learning.,248.0,26,True,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1618.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,130331.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1505.0,3.0,,,,,,,,,,shogun,,,,,,,,,, +468,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,329.0,67.0,167.0,164.0,113.0,2726.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,91.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,91.0,393956.0,395762.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,149925.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +469,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-06-23 10:52:46.000000,2020-03-16 04:26:47,75.0,,217.0,66.0,42.0,16.0,24.0,2680.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,26,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,964.0,959.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,71823.0,72091.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,14502.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +470,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2024-03-14 19:50:06.000000,2024-03-14 19:50:06,769.0,1.0,682.0,179.0,75.0,23.0,565.0,2670.0,Python sync/async framework for Interactive Brokers API.,36.0,26,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,28.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,28.0,31585.0,32276.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,39391.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +471,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2024-02-10 12:55:47.000000,2023-07-23 14:42:27,191.0,,462.0,38.0,239.0,52.0,280.0,2479.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,26,True,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,37335.0,37564.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-12-20 04:10:30.919,6428.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +472,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,719.0,167.0,94.0,136.0,358.0,2458.0,An Algorithmic Trading Library for Crypto-Assets in Python.,152.0,26,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,27.0,25.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,231.0,231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +473,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2024-03-01 17:17:03.000000,2024-03-01 17:16:56,650.0,6.0,236.0,64.0,31.0,60.0,93.0,2221.0,Fast and Easy Infinite Neural Networks in Python.,29.0,26,True,2023-12-11 14:10:12.000,0.6.5,31.0,neural-tangents,,,,,99.0,98.0,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,2215.0,2223.0,,,,,,,,3.0,375.0,,,,,,,,,,,,,,,,,,, +474,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2024-04-25 15:11:53.000000,2023-06-01 12:18:23,739.0,,313.0,42.0,44.0,98.0,56.0,2140.0,A modular active learning framework for Python.,20.0,26,True,2024-04-25 15:11:53.000,0.62.112,895.0,modAL,,,,['sklearn'],17.0,,https://pypi.org/project/modAL,2024-04-25 15:11:53.000,17.0,224692.0,224692.0,,,,,,,,3.0,34.0,,,,,,,,,,,,,,,,,,, +475,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-04-01 00:45:19.000000,2024-03-31 23:27:50,918.0,26.0,135.0,33.0,440.0,50.0,353.0,1803.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,26,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,,,,,54.0,53.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,20986.0,20986.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +476,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-04-01 02:54:47.033000,2024-03-31 23:27:50,918.0,26.0,135.0,33.0,440.0,50.0,353.0,1803.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,26,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,conda-forge/orbit-ml,,,,54.0,53.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,20986.0,21210.0,https://anaconda.org/conda-forge/orbit-ml,2024-04-01 02:54:47.033,6062.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +477,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-12-02 05:11:31.000000,2023-12-02 05:11:31,691.0,,276.0,40.0,495.0,172.0,151.0,1751.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,171.0,163.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,35542.0,35548.0,,,,,,,,3.0,457.0,,,,,,,,,,,,,,,,,,, +478,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-09-11 22:28:27.000000,2023-06-20 13:16:50,391.0,,159.0,25.0,81.0,43.0,35.0,1699.0,A Python package for time series classification.,14.0,26,True,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,608.0,589.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,19.0,106539.0,107308.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,23088.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +479,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2024-04-25 02:22:52.000000,2024-04-24 20:24:02,893.0,90.0,255.0,46.0,739.0,59.0,64.0,1623.0,A lightweight library for PyTorch training tools and utilities.,124.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],38.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,38.0,6998.0,6998.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +480,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-12-11 05:15:14.000000,2023-09-26 07:34:28,1378.0,,309.0,27.0,379.0,89.0,155.0,1558.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,26,True,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],56.0,54.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,2.0,1368.0,1368.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +481,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2024-02-14 20:47:03.000000,2023-06-07 07:35:59,3033.0,,119.0,36.0,336.0,11.0,187.0,1429.0,Multi-class confusion matrix library in Python.,17.0,26,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,311.0,293.0,https://pypi.org/project/pycm,2023-06-07 14:08:01.991,18.0,49861.0,49861.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +482,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2023-10-09 07:21:10.000000,2023-09-29 00:13:39,295.0,,231.0,46.0,184.0,53.0,120.0,1377.0,Metric learning algorithms in Python.,22.0,26,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],382.0,369.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,13.0,16468.0,16720.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,11366.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +483,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2023-10-05 01:24:33.000000,2023-10-05 01:24:32,851.0,,265.0,76.0,481.0,42.0,198.0,1309.0,Underthesea - Vietnamese NLP Toolkit.,18.0,26,False,2023-09-22 23:57:31.000,6.8.0,125.0,underthesea,,,,,1036.0,1009.0,https://pypi.org/project/underthesea,2023-09-22 23:50:49.000,27.0,17221.0,17295.0,,,,,,,,3.0,6190.0,,,,,,,,,,,,,,,,,,, +484,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2023-11-28 23:16:10.000000,2023-09-10 06:51:22,1752.0,,197.0,43.0,257.0,66.0,212.0,1239.0,Python audio and music signal processing library.,20.0,26,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,448.0,415.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,33.0,1997.0,1997.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +485,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,174.0,26.0,36.0,1.0,116.0,1234.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,26,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1602.0,1569.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,33.0,49474.0,49474.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +486,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2023-06-16 13:22:22.238000,2022-12-22 14:52:10,805.0,,143.0,35.0,214.0,109.0,152.0,1221.0,Real-time stream processing for python.,48.0,26,False,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,500.0,459.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,41.0,30644.0,41215.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,835159.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +487,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2024-04-16 18:02:40.000000,2024-04-16 18:02:40,396.0,2.0,177.0,26.0,32.0,4.0,129.0,1190.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,26,True,2023-10-11 22:35:06.000,0.13.0,59.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],536.0,524.0,https://pypi.org/project/prince,2023-10-11 22:35:06.000,12.0,88616.0,88957.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,18077.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +488,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2023-11-24 11:08:54.000000,2023-11-24 11:08:47,208.0,,83.0,34.0,109.0,7.0,18.0,1179.0,A library of reinforcement learning building blocks in JAX.,21.0,26,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],232.0,221.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,11.0,1696701.0,1696701.0,,,,,,,,3.0,,,,google-deepmind/rlax,,,,,,,,,,,,,,,, +489,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2024-02-29 13:41:12.000000,2024-02-29 13:41:11,1144.0,2.0,236.0,61.0,246.0,22.0,367.0,955.0,Search and download Copernicus Sentinel satellite images.,44.0,26,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,590.0,550.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,40.0,24830.0,25520.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,28928.0,,,,,3.0,264.0,,,,,,,,,,,,,,,,,,, +490,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2024-03-16 03:13:29.000000,2024-03-16 03:11:16,544.0,84.0,101.0,24.0,97.0,15.0,104.0,665.0,"Python library for reading audio file metadata, duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave, AIFF and a few..",26.0,26,True,2023-10-26 19:30:36.000,1.10.1,41.0,tinytag,,,,,117.0,,https://pypi.org/project/tinytag,2023-10-26 19:30:36.000,117.0,23316.0,23316.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +491,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2024-04-10 14:04:03.000000,2024-04-10 14:03:58,910.0,44.0,107.0,43.0,112.0,56.0,46.0,632.0,Bias Auditing & Fair ML Toolkit.,21.0,26,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,161.0,154.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,7.0,7747.0,7747.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +492,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2024-04-23 05:17:11.000000,2024-04-23 01:57:21,843.0,8.0,134.0,29.0,89.0,41.0,75.0,597.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,19.0,26,True,2024-04-23 05:17:11.000,1.15.0,43.0,ml-metadata,,,,,455.0,431.0,https://pypi.org/project/ml-metadata,2024-04-23 05:17:11.000,24.0,71221.0,71256.0,,,,,,,,3.0,2136.0,,,,,,,,,,,,,,,,,,, +493,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2024-04-09 13:42:05.705000,2024-04-03 15:41:01,407.0,65.0,134.0,20.0,46.0,3.0,84.0,544.0,Medical image processing in Python.,20.0,26,False,2024-04-03 15:53:56.000,0.5.1,9.0,MedPy,conda-forge/medpy,,,,1910.0,1863.0,https://pypi.org/project/MedPy,2024-04-03 15:53:56.000,47.0,19459.0,20215.0,https://anaconda.org/conda-forge/medpy,2024-04-09 13:42:05.705,25728.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +494,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2023-09-25 19:44:09.000000,2019-12-05 08:17:22,46.0,,214.0,22.0,17.0,46.0,23.0,423.0,scikit-learn inspired API for CRFsuite.,6.0,26,False,2017-06-22 18:49:27.000,0.3.6,9.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],7814.0,7529.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000,285.0,239700.0,240533.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,40013.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +495,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2024-02-19 07:00:31.744000,2024-02-18 18:51:38,532.0,11.0,39.0,5.0,15.0,6.0,48.0,322.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,14.0,26,True,2024-02-18 18:57:32.000,0.9.0,25.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],701.0,669.0,https://pypi.org/project/scikit-posthocs,2024-02-18 18:57:32.000,32.0,90503.0,112485.0,https://anaconda.org/conda-forge/scikit-posthocs,2024-02-19 07:00:31.744,923281.0,,,,,3.0,45.0,,,,,,,,,,,,,,,,,,, +496,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2024-02-01 02:29:47.000000,2024-02-01 02:29:37,1618.0,1.0,808.0,146.0,1563.0,114.0,125.0,7953.0,Trax Deep Learning with Clear Code and Speed.,79.0,25,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,147.0,146.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,3618.0,3618.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +497,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,824.0,168.0,1588.0,145.0,74.0,6363.0,A natural language modeling framework based on PyTorch.,234.0,25,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,1.0,158.0,163.0,,,,,,,,3.0,357.0,,,,,,,,,,,,,,,,,,, +498,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2023-10-03 15:31:03.000000,2022-09-22 23:59:07,1084.0,,979.0,182.0,327.0,334.0,292.0,5780.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,129.0,126.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,3.0,315.0,363.0,,,,,,,,3.0,3730.0,,,,,,,,,,,,,,,,,,, +499,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2024-04-23 07:39:54.000000,2023-04-28 16:55:30,521.0,,444.0,62.0,92.0,36.0,88.0,4947.0,Finding duplicate images made easy!.,15.0,25,True,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],107.0,102.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,18442.0,18442.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +500,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2024-02-17 08:10:07.000000,2023-11-19 13:26:15,334.0,,948.0,45.0,33.0,65.0,112.0,4930.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",20.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],198.0,189.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,9.0,3513.0,3513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +501,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2024-04-25 08:31:51.000000,2024-04-25 08:31:51,3540.0,121.0,600.0,93.0,3890.0,205.0,1371.0,4914.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,91.0,25,True,2024-03-25 18:23:41.000,1.36.0,76.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +502,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2024-01-16 11:28:25.000000,2022-08-23 22:54:23,1046.0,,982.0,239.0,215.0,51.0,200.0,4373.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,25,False,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,54.0,53.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,733.0,826.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,3363.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +503,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,513.0,135.0,649.0,65.0,198.0,3864.0,Snips Python library to extract meaning from text.,22.0,25,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,2670.0,2670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +504,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-03-03 01:42:05.000000,2024-03-03 01:31:19,175.0,2.0,445.0,89.0,78.0,65.0,137.0,3348.0,Generate embeddings from large-scale graph-structured data.,32.0,25,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,,['pytorch'],3.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,3.0,477694.0,477696.0,,,,,,,,2.0,179.0,,,,,,,,,,,,,,,,,,, +505,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2024-04-25 08:30:14.000000,2024-03-11 08:27:22,2739.0,48.0,1202.0,135.0,1062.0,52.0,73.0,3287.0,a distributed deep learning platform.,88.0,25,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,3.0,3.0,,,,,68.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,740.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,6548.0,3.0,,,,,,,,,,,,,,,,,,,, +506,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,679.0,73.0,25.0,117.0,101.0,2978.0,Neural network visualization toolkit for keras.,10.0,25,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],2941.0,2912.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,29.0,1563.0,1563.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +507,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,471.0,98.0,49.0,59.0,253.0,2806.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,720.0,696.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,24.0,3547.0,3865.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,15339.0,,,,,3.0,976.0,,,,,,,,,,,,,,,,,,, +508,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2024-04-22 23:07:16.000000,2023-06-30 21:16:10,470.0,,322.0,64.0,317.0,47.0,124.0,2777.0,DDSP: Differentiable Digital Signal Processing.,32.0,25,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],54.0,53.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,1968.0,2292.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,14941.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +509,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-04-23 22:35:12.000000,2024-01-21 06:34:10,937.0,,173.0,20.0,78.0,95.0,172.0,2741.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,28.0,25,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,44.0,43.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,1202.0,1202.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,, +510,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2023-11-01 10:12:46.000000,2022-10-05 16:26:03,376.0,,226.0,50.0,481.0,45.0,70.0,2708.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,221.0,218.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,20182.0,20183.0,,,,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,, +511,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2024-04-15 21:12:13.000000,2023-07-01 21:40:58,1936.0,,343.0,40.0,89.0,28.0,157.0,2485.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,28.0,25,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,,['pytorch'],3.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,3.0,2178.0,2178.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +512,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,,254.0,56.0,56.0,19.0,50.0,2206.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,25,True,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],690.0,671.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,8703.0,8703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +513,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-04-18 20:21:30.000000,2024-02-10 10:17:50,226.0,9.0,243.0,47.0,93.0,20.0,115.0,2142.0,A Python library that helps data scientists to infer causation rather than observing correlation.,40.0,25,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",113.0,110.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,3.0,3291.0,3291.0,,,,,,,,3.0,,,,mckinsey/causalnex,,,,,,,,,,,,,,,, +514,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2023-06-20 17:42:42.000000,2023-06-20 17:42:34,12566.0,,84.0,41.0,47.0,12.0,75.0,2092.0,The friendly PIL fork.,385.0,25,False,,,47.0,pillow-simd,,,,,56.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,56.0,40439.0,40439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +515,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2024-03-05 11:46:16.000000,2024-03-05 11:46:12,2314.0,12.0,236.0,37.0,38.0,13.0,114.0,2086.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,20.0,25,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,235.0,229.0,https://pypi.org/project/karateclub,2022-10-22 16:17:27.886,6.0,3717.0,4220.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,22638.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +516,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,302.0,57.0,1313.0,233.0,810.0,1812.0,A toolkit for reproducible reinforcement learning research.,79.0,25,False,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],104.0,102.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,2.0,631.0,631.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +517,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2024-03-24 14:27:59.853000,2022-12-07 10:32:49,237.0,,293.0,1.0,1.0,1.0,,1703.0,Feature engineering package with sklearn like functionality.,38.0,25,False,2024-03-24 13:29:41.000,1.7.0,39.0,feature_engine,conda-forge/feature_engine,,,,103.0,,https://pypi.org/project/feature_engine,2024-03-24 13:29:41.000,103.0,149528.0,150583.0,https://anaconda.org/conda-forge/feature_engine,2024-03-24 14:27:59.853,46437.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +518,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2024-03-17 06:23:46.000000,2023-04-20 14:53:46,460.0,,238.0,49.0,49.0,23.0,91.0,1595.0,Contextually-keyed word vectors.,19.0,25,True,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,370.0,356.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,14.0,3088.0,5099.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,36717.0,,,,,3.0,64764.0,,,,,,,,,,,,,,,,,,, +519,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2022-07-01 09:55:35.000000,2021-07-08 19:03:55,108.0,,204.0,44.0,12.0,4.0,51.0,1562.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,25,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],231.0,229.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,2.0,231547.0,231547.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +520,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-11-29 15:04:03.000000,2023-08-12 06:34:27,161.0,,268.0,49.0,87.0,22.0,191.0,1532.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,25,True,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],560.0,543.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,17.0,6720.0,6866.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,6755.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +521,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2024-01-04 20:19:39.000000,2024-01-04 20:19:39,950.0,,567.0,108.0,283.0,16.0,300.0,1501.0,Execute Python code on the fly and display results in Tableau visualizations:.,50.0,25,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,160.0,158.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,7580.0,7633.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4488.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +522,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2024-04-15 09:35:51.000000,2024-04-15 09:35:50,1032.0,2.0,174.0,17.0,68.0,30.0,339.0,1475.0,PyTorch Extension Library of Optimized Scatter Operations.,29.0,25,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],84.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,84.0,42223.0,47884.0,https://anaconda.org/conda-forge/pytorch_scatter,2024-01-12 22:30:52.418,260447.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +523,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-11-06 16:35:44.000000,2023-11-06 15:20:05,206.0,,330.0,50.0,43.0,96.0,,1331.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,25,True,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],466.0,458.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,27832.0,54040.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,311.0,,,,,3.0,1126655.0,,,,,,,,,,,,,,,,,,, +524,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-07-15 12:45:07.000000,2022-04-04 16:13:36,330.0,,141.0,28.0,63.0,7.0,70.0,1283.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,False,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,,['jupyter'],1435.0,1422.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,13.0,13302.0,13302.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +525,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2024-01-05 18:00:58.000000,2024-01-05 18:00:58,67.0,,296.0,55.0,63.0,16.0,109.0,1232.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,25,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,1060.0,1029.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,31.0,11805.0,11805.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +526,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2024-04-25 10:03:13.000000,2024-04-23 21:40:11,2229.0,186.0,85.0,19.0,851.0,81.0,210.0,1073.0,"MetricFlow allows you to define, build, and maintain metrics in code.",44.0,25,False,2024-03-02 00:18:17.000,0.205.0,84.0,metricflow,,,,,24.0,21.0,https://pypi.org/project/metricflow,2024-04-04 05:32:07.000,3.0,18498.0,18498.0,,,,,,,,3.0,,,,dbt-labs/metricflow,,,,,,,,,,,,,,,, +527,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2024-04-16 01:22:01.000000,2024-04-15 17:28:39,806.0,9.0,116.0,31.0,411.0,68.0,323.0,1011.0,BAyesian Model-Building Interface (Bambi) in Python.,37.0,25,True,2023-10-25 02:06:14.000,0.13.0,28.0,bambi,conda-forge/bambi,,,,125.0,116.0,https://pypi.org/project/bambi,2023-10-25 02:06:14.000,9.0,21695.0,22442.0,https://anaconda.org/conda-forge/bambi,2023-10-27 17:16:55.433,29912.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +528,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2024-04-24 15:34:23.000000,2024-02-13 12:59:29,2071.0,1.0,215.0,41.0,590.0,85.0,433.0,1006.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,25,False,2023-08-01 13:38:54.000,2.0.2,47.0,smac,conda-forge/smac,,,,49.0,,https://pypi.org/project/smac,2023-08-01 13:30:07.000,49.0,55837.0,56351.0,https://anaconda.org/conda-forge/smac,2023-08-11 21:35:06.370,19045.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +529,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2023-09-20 15:32:40.000000,2023-09-20 15:32:36,567.0,,191.0,48.0,61.0,1.0,68.0,975.0,Training neural models with structured signals.,38.0,25,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],441.0,438.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,21148.0,21148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +530,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,256.0,43.0,72.0,103.0,188.0,916.0,Gaussian Process Optimization using GPy.,50.0,25,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,545.0,504.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,41.0,5896.0,5896.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +531,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2023-08-27 04:36:31.000000,2021-02-11 16:40:18,279.0,,77.0,13.0,48.0,22.0,53.0,729.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,7.0,25,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,1758.0,1729.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,29.0,512753.0,512931.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,5359.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +532,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2024-01-05 08:05:26.000000,2024-01-05 08:05:26,564.0,,98.0,15.0,193.0,106.0,135.0,660.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",33.0,25,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,312.0,,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,312.0,2738289.0,2738435.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,17894.0,,,,,,,,,,,,,,,,,,, +533,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2024-04-22 11:02:37.000000,2024-04-18 15:40:20,476.0,5.0,50.0,8.0,59.0,169.0,234.0,583.0,python binding for libvips using cffi.,16.0,25,True,2024-01-04 12:00:44.000,2.2.2,25.0,pyvips,conda-forge/pyvips,,,,755.0,705.0,https://pypi.org/project/pyvips,2024-01-04 12:00:44.000,50.0,39268.0,41117.0,https://anaconda.org/conda-forge/pyvips,2023-09-26 03:23:28.071,77674.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +534,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2024-03-09 00:32:37.185000,2024-03-08 20:01:01,3751.0,28.0,69.0,47.0,355.0,21.0,395.0,552.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,37.0,25,False,2024-03-08 20:13:23.000,5.0.1,71.0,skll,conda-forge/skll,,,['sklearn'],59.0,41.0,https://pypi.org/project/skll,2024-03-08 20:01:40.000,18.0,414.0,885.0,https://anaconda.org/conda-forge/skll,2024-03-09 00:32:37.185,13663.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,, +535,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2024-04-10 07:37:43.190000,2022-01-15 18:08:37,1718.0,,66.0,16.0,13.0,35.0,7.0,527.0,Pure-Python full-text search library.,42.0,25,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,3710.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,3710.0,432766.0,439658.0,https://anaconda.org/conda-forge/whoosh,2024-04-10 07:37:43.190,241247.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +536,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2024-04-18 16:17:56.000000,2024-03-19 09:57:11,5646.0,53.0,92.0,14.0,752.0,16.0,438.0,422.0,Lightwood is Legos for Machine Learning.,46.0,25,False,2024-03-19 10:28:37.000,24.3.3.1,203.0,lightwood,,,,['pytorch'],61.0,59.0,https://pypi.org/project/lightwood,2024-03-19 10:24:49.000,2.0,6449.0,6449.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +537,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2024-02-11 07:50:28.337000,2024-02-11 00:53:13,766.0,8.0,85.0,13.0,30.0,7.0,48.0,366.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,18.0,25,True,2024-02-11 00:59:05.000,3.1.0,58.0,pymap3d,conda-forge/pymap3d,,,,414.0,387.0,https://pypi.org/project/pymap3d,2024-02-11 00:59:05.000,27.0,130398.0,132002.0,https://anaconda.org/conda-forge/pymap3d,2024-02-11 07:50:28.337,69005.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +538,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2024-04-23 07:31:20.000000,2024-04-23 06:49:41,543.0,20.0,56.0,40.0,293.0,20.0,60.0,299.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",41.0,25,False,2024-04-23 07:31:20.000,1.3.0,77.0,gokart,,,,,80.0,75.0,https://pypi.org/project/gokart,2024-04-23 07:31:20.000,5.0,4338.0,4338.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +539,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2024-04-19 20:13:48.000000,2024-04-19 20:13:39,2612.0,74.0,59.0,8.0,249.0,32.0,81.0,257.0,Python recommendation toolkit.,14.0,25,False,2024-02-16 21:04:30.000,0.14.4,25.0,lenskit,conda-forge/lenskit,,,,106.0,100.0,https://pypi.org/project/lenskit,2024-02-16 21:03:49.000,6.0,1633.0,2269.0,https://anaconda.org/conda-forge/lenskit,2024-04-18 13:51:51.378,26082.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +540,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,749.0,136.0,43.0,141.0,98.0,4942.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1129.0,1113.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,603.0,615.0,,,,,,,,3.0,909.0,,,,,,,,,,,,,,,,,,, +541,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-01-13 08:14:49.000000,2022-07-29 10:37:24,205.0,,1002.0,92.0,63.0,253.0,269.0,4603.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,24,False,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,27257.0,27257.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +542,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2024-03-12 11:21:52.000000,2021-06-02 09:45:13,150.0,,742.0,101.0,35.0,107.0,113.0,4500.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,24,False,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],129.0,124.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,5254.0,5257.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,234.0,3.0,,,,,,,,,,,,,,,,,,,, +543,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,,1370.0,351.0,59.0,51.0,,4295.0,Python Algorithmic Trading Library.,11.0,24,False,,,8.0,pyalgotrade,,,,,204.0,183.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,21.0,628.0,628.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +544,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-01-16 13:26:41.000000,2023-05-06 14:09:10,264.0,,423.0,42.0,52.0,76.0,174.0,4151.0,An Open-Source Framework for Prompt-Learning.,22.0,24,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,115.0,113.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,2.0,886.0,886.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +545,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,721.0,62.0,247.0,129.0,824.0,4042.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,36.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,36.0,6668.0,6668.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +546,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16,1810.0,,917.0,177.0,385.0,33.0,430.0,3820.0,"Facilitating the design, comparison and sharing of deep text matching models.",36.0,24,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +547,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,,529.0,173.0,50.0,65.0,49.0,3472.0,Fast and flexible AutoML with learning guarantees.,27.0,24,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],61.0,58.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,3.0,169.0,169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +548,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2024-04-19 09:57:26.000000,2024-04-18 10:50:42,510.0,2.0,811.0,62.0,632.0,133.0,396.0,3184.0,A high-performance distributed training framework for Reinforcement Learning.,44.0,24,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],124.0,123.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,940.0,940.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +549,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528.0,110.0,73.0,193.0,117.0,3076.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,24,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,142.0,130.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,965.0,1027.0,,,,,,,,3.0,4565.0,,,,,,,,,,,,,,,,,,, +550,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-01-20 00:01:11.000000,2024-01-20 00:01:11,1576.0,,246.0,29.0,2015.0,3.0,652.0,2989.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,35.0,24,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,3880.0,3974.0,,,,,,,,3.0,2642.0,,,,,,,,,,,,,,,,,,, +551,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2024-03-13 21:11:32.000000,2024-03-13 21:09:44,767.0,1.0,362.0,91.0,548.0,144.0,92.0,2740.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,24,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],9.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,9.0,109714.0,109714.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +552,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2024-01-02 10:00:14.000000,2023-11-02 03:13:52,1297.0,,316.0,93.0,2157.0,206.0,982.0,2677.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",53.0,24,True,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,1.0,19237.0,19237.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +553,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,,319.0,30.0,695.0,49.0,151.0,2496.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,24,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,92.0,91.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,1.0,349.0,349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +554,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,645.0,89.0,29.0,25.0,52.0,2332.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,756.0,575.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,181.0,32148.0,32148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +555,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2024-04-05 08:29:34.000000,2024-04-04 10:48:55,541.0,9.0,202.0,42.0,128.0,62.0,127.0,2174.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,28.0,24,True,2023-12-27 00:46:01.000,2023.12.27,773.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,5343.0,5343.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +556,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,,241.0,70.0,21.0,93.0,66.0,2086.0,Open source time series library for Python.,6.0,24,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,283.0,266.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,17.0,29919.0,29919.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +557,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,669.0,82.0,48.0,24.0,64.0,2046.0,Common financial technical indicators implemented in Pandas.,28.0,24,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,504.0,492.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,8524.0,8524.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +558,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2024-01-09 01:46:07.000000,2023-09-26 17:27:56,255.0,,200.0,29.0,65.0,35.0,83.0,1983.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,24,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],342.0,335.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,7.0,2985.0,3163.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,6967.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +559,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2024-03-29 21:12:28.000000,2023-12-04 14:09:45,571.0,,128.0,56.0,450.0,67.0,102.0,1836.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,29.0,24,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,103.0,96.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,7.0,5356.0,5356.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +560,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,120.0,28.0,31.0,58.0,50.0,1573.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,24,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],435.0,430.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,5.0,131641.0,131641.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +561,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2024-03-05 19:49:22.000000,2023-11-08 21:41:55,157.0,,162.0,104.0,185.0,35.0,25.0,1489.0,fklearn: Functional Machine Learning.,55.0,24,True,2023-11-09 12:59:48.000,3.0.0,31.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,2023-11-09 12:59:48.000,,574.0,574.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +562,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-04-11 17:06:22.000000,2024-03-14 13:15:40,347.0,5.0,292.0,42.0,254.0,69.0,195.0,1456.0,A framework for Privacy Preserving Machine Learning.,35.0,24,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],35.0,34.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,379.0,379.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +563,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,404.0,91.0,165.0,103.0,224.0,1356.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,24,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],43.0,42.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,1.0,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +564,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-12-20 21:48:32.000000,2023-10-12 14:56:47,1107.0,,235.0,35.0,68.0,57.0,206.0,1223.0,A toolbox to iNNvestigate neural networks predictions!.,20.0,24,True,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,,['tensorflow'],127.0,125.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,750.0,754.0,,,,,,,,3.0,98.0,,,,,,,,,,,,,,,,,,, +565,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2023-10-19 08:20:16.000000,2023-02-08 02:25:50,604.0,,205.0,54.0,460.0,143.0,293.0,1192.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,False,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],75.0,66.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,458.0,458.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +566,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2024-04-11 07:53:49.000000,2024-04-11 07:53:48,85.0,7.0,226.0,20.0,19.0,5.0,87.0,1177.0,Implementation of the node2vec algorithm.,15.0,24,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,621.0,600.0,https://pypi.org/project/node2vec,2022-08-01 11:35:00.616,21.0,57993.0,58382.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,27653.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +567,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,223.0,72.0,415.0,75.0,147.0,1154.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,28.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,174.0,164.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,10.0,470.0,470.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +568,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2024-04-13 14:07:28.000000,2019-08-16 09:00:15,140.0,,113.0,12.0,23.0,18.0,15.0,1071.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,24,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,5435.0,5112.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,323.0,415339.0,415339.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +569,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,,175.0,48.0,112.0,53.0,170.0,968.0,Python interface to GPU-powered libraries.,44.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,340.0,290.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,50.0,774.0,774.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +570,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2024-04-15 09:36:18.000000,2024-04-15 09:36:18,731.0,3.0,144.0,15.0,104.0,31.0,237.0,955.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,45.0,24,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],75.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,75.0,27242.0,32994.0,https://anaconda.org/conda-forge/pytorch_sparse,2024-01-09 03:56:17.077,264594.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +571,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2024-04-25 11:23:04.000000,2024-02-14 13:54:40,2672.0,2.0,105.0,11.0,534.0,36.0,93.0,889.0,Time series forecasting with scikit-learn models.,10.0,24,True,2023-11-16 21:42:02.000,0.11.0,25.0,skforecast,,,,['sklearn'],260.0,252.0,https://pypi.org/project/skforecast,2023-11-16 21:34:56.000,8.0,48011.0,48011.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +572,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2024-04-10 17:11:06.000000,2023-03-06 07:52:05,311.0,,108.0,26.0,36.0,34.0,69.0,877.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,24,False,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],609.0,597.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,19098.0,19098.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +573,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2024-04-03 15:44:10.000000,2024-03-27 16:08:31,342.0,20.0,134.0,19.0,76.0,3.0,65.0,855.0,An intuitive library to extract features from time series.,19.0,24,True,2024-03-27 17:12:39.000,0.1.7,11.0,tsfel,,,,,128.0,125.0,https://pypi.org/project/tsfel,2024-03-27 16:06:38.000,3.0,17577.0,17577.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +574,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2024-04-10 22:46:55.000000,2024-02-01 14:45:49,245.0,8.0,108.0,14.0,42.0,35.0,27.0,836.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,12.0,24,True,2024-02-01 14:51:21.000,0.5.2,13.0,detoxify,,,,,590.0,575.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,15.0,26870.0,38034.0,,,,,,,,3.0,457726.0,,,,,,,,,,,,,,,,,,, +575,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,150.0,25.0,154.0,79.0,137.0,761.0,Google maps for Jupyter notebooks.,16.0,24,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,,['jupyter'],51.0,4.0,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,44.0,5739.0,10150.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,313239.0,,,,,3.0,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,3.0,638.0,,,,,,,,,,, +576,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2023-01-03 21:24:56.000000,2023-01-03 21:24:56,1146.0,,157.0,34.0,25.0,34.0,236.0,739.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,182.0,169.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,13.0,3805.0,3805.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +577,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2024-03-07 03:49:45.000000,2024-03-07 03:49:45,400.0,2.0,155.0,17.0,72.0,35.0,108.0,696.0,Ternary plotting library for python with matplotlib.,27.0,24,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,194.0,167.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,27.0,39564.0,40399.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,80161.0,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,, +578,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,138.0,131.0,91.0,43.0,67.0,652.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,22.0,24,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],207.0,192.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,15.0,14331.0,14331.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +579,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2023-06-16 13:16:45.065000,2022-02-11 07:59:35,77.0,,72.0,9.0,17.0,11.0,12.0,508.0,Find pyspark to make it importable.,15.0,24,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],4538.0,4369.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,169.0,2653158.0,2662694.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,896439.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +580,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2024-04-18 17:01:15.000000,2023-12-26 16:13:16,6706.0,,143.0,36.0,395.0,37.0,135.0,372.0,Neuroimaging in Python FMRI analysis package.,69.0,24,False,2023-12-21 16:45:52.000,0.6.0,8.0,nipy,conda-forge/nipy,,,,276.0,224.0,https://pypi.org/project/nipy,2023-12-21 16:45:52.000,52.0,4324.0,5650.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,107444.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +581,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2024-02-25 19:17:18.000000,2024-02-25 19:17:13,576.0,1.0,84.0,29.0,318.0,75.0,27.0,367.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,24,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],387.0,380.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,46542.0,46542.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +582,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2024-04-22 19:23:00.000000,2020-06-03 05:58:03,146.0,,1379.0,261.0,69.0,115.0,136.0,6314.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,24.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,3.0,102.0,102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +583,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2024-01-23 18:30:32.000000,2024-01-23 18:30:25,598.0,,739.0,105.0,588.0,107.0,345.0,5901.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,58.0,23,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,40555.0,40555.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +584,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2024-03-03 01:46:55.000000,2024-03-03 01:31:19,1096.0,1.0,885.0,115.0,675.0,238.0,542.0,5415.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,117.0,23,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],18.0,17.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,524.0,524.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +585,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2024-04-18 05:42:13.000000,2024-03-11 13:23:01,3347.0,3.0,820.0,231.0,111.0,57.0,620.0,4877.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,23,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,22.0,,,,,,,,3.0,1505.0,,,,,,,,,,,,,,,,,,, +586,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-02-14 12:21:00.000000,2022-08-09 13:26:32,565.0,,1228.0,306.0,209.0,64.0,211.0,4712.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,23,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1814.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143375.0,3.0,,,,,,,,,,,,,,,,,,,, +587,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2024-04-03 01:41:03.000000,2024-04-03 01:36:11,1596.0,7.0,502.0,150.0,609.0,69.0,75.0,3521.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",166.0,23,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +588,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-12-07 20:40:17.000000,2023-12-07 20:40:17,720.0,,223.0,54.0,36.0,74.0,123.0,3131.0,A GUI for Pandas DataFrames.,15.0,23,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],372.0,367.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,5.0,3222.0,3774.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,21532.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +589,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,,237.0,42.0,110.0,80.0,64.0,2865.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,23,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,9987.0,9989.0,,,,,,,,3.0,122.0,,,,,,,,,,,,,,,,,,, +590,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,413.0,131.0,136.0,60.0,128.0,2397.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],62.0,60.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,2019.0,2182.0,,,,,,,,3.0,12776.0,,,,,,,,,,,,,,,,,,, +591,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16,955.0,,441.0,65.0,122.0,32.0,350.0,2377.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],65.0,63.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +592,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,301.0,66.0,78.0,64.0,68.0,2099.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],30.0,27.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,1698.0,1698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +593,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,243.0,44.0,33.0,51.0,90.0,1927.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],169.0,169.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,4352.0,4352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +594,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2024-02-06 10:59:55.000000,2024-02-06 10:59:47,125.0,1.0,228.0,42.0,36.0,45.0,24.0,1850.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,23,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],466.0,444.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,2439.0,3368.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,33477.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +595,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2024-02-11 12:41:49.000000,2020-04-24 06:58:09,58.0,,255.0,44.0,14.0,57.0,35.0,1771.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,23,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",274.0,263.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,4894.0,4894.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +596,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-12-20 21:18:02.000000,2022-08-31 09:45:24,594.0,,245.0,53.0,446.0,6.0,402.0,1723.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,23,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,,['pytorch'],3.0,,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,1333.0,1424.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,3304.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +597,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,311.0,98.0,45.0,187.0,216.0,1637.0,[UNMAINTAINED] Automated machine learning for analytics & production.,14.0,23,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,9.0,2.0,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,7.0,1386.0,1386.0,,,,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,, +598,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,116.0,38.0,11.0,33.0,51.0,1611.0,"A fast, efficient universal vector embedding utility package.",4.0,23,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,354.0,342.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,12.0,1305.0,1305.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +599,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,,256.0,50.0,312.0,99.0,17.0,1555.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,23,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],30.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,30.0,47027.0,47027.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +600,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2024-03-05 07:56:07.000000,2024-03-05 07:56:07,582.0,2.0,302.0,57.0,115.0,54.0,30.0,1529.0,Interpretability and explainability of data and machine learning models.,41.0,23,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,88.0,87.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,889.0,889.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +601,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2024-04-25 12:23:10.000000,2024-02-25 11:49:35,1255.0,22.0,115.0,32.0,163.0,71.0,141.0,1486.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",24.0,23,True,2024-01-20 15:39:17.000,0.9.0,14.0,kp,,,,,,,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,206.0,217.0,,,,,,,,3.0,496.0,,,,,,,,,,,,,,,,,,, +602,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2024-04-18 10:50:41.000000,2024-04-18 10:50:48,1196.0,12.0,117.0,27.0,68.0,4.0,29.0,1484.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,23,True,2023-08-19 14:26:10.000,0.7.0,29.0,pytorch_toolbelt,,,,['pytorch'],7.0,,https://pypi.org/project/pytorch_toolbelt,2022-06-27 19:59:57.000,7.0,7353.0,7353.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,, +603,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2022-07-25 15:59:11.000000,2022-05-22 23:59:48,1219.0,,160.0,33.0,22.0,42.0,34.0,1269.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",12.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],62.0,61.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,1.0,773.0,773.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +604,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2024-04-22 22:36:20.000000,2024-04-10 03:25:54,547.0,20.0,129.0,21.0,263.0,13.0,130.0,1213.0,A standard framework for modelling Deep Learning Models for tabular data.,21.0,23,True,2024-01-15 12:17:19.000,1.1.0,12.0,pytorch_tabular,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_tabular,2024-01-15 02:46:25.000,2.0,3209.0,3209.0,,,,,,,,1.0,27.0,,,,,,,,,,,,,,,,,,, +605,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2023-11-17 11:03:05.000000,2023-11-17 10:59:26,412.0,,184.0,34.0,73.0,3.0,86.0,1035.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],221.0,212.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,4014.0,4014.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +606,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,149.0,23.0,46.0,15.0,82.0,910.0,kapre: Keras Audio Preprocessors.,13.0,23,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2398.0,2383.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,15.0,1635.0,1635.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,, +607,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-08-14 08:41:19.000000,2023-08-12 20:19:05,5777.0,,84.0,14.0,77.0,220.0,218.0,856.0,"Experiment tracking, ML developer tools.",29.0,23,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,95.0,95.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,1382.0,1382.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +608,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2024-04-17 06:08:55.000000,2024-04-17 06:07:52,292.0,8.0,249.0,46.0,18.0,9.0,91.0,823.0,Data compression in TensorFlow.,21.0,23,True,2024-03-27 19:52:35.000,2.16.0,25.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2024-02-02 01:38:32.000,2.0,14646.0,14646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +609,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2024-04-15 09:36:07.000000,2024-04-15 09:36:01,599.0,5.0,132.0,15.0,58.0,28.0,127.0,761.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,34.0,23,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],45.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,45.0,13814.0,15885.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-12-29 00:14:59.843,97364.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +610,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2024-03-15 12:50:01.000000,2018-12-04 14:43:25,32.0,,87.0,21.0,9.0,23.0,41.0,667.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,23,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],447.0,425.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,22.0,37131.0,37160.0,https://anaconda.org/anaconda/pivottablejs,2023-12-06 04:45:55.894,2906.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +611,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2024-04-22 18:15:32.000000,2024-04-22 18:15:32,868.0,15.0,83.0,11.0,730.0,91.0,438.0,605.0,Automated modeling and machine learning framework FEDOT.,33.0,23,True,2024-03-15 09:42:11.000,0.7.3.1,21.0,fedot,,,,,48.0,45.0,https://pypi.org/project/fedot,2024-03-05 21:31:39.000,3.0,938.0,938.0,,,,,,,,3.0,,,,aimclub/FEDOT,,,,,,,,,,,,,,,, +612,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2024-04-24 13:13:53.000000,2024-04-24 04:05:07,973.0,10.0,177.0,24.0,841.0,113.0,388.0,541.0,MONAI Label is an intelligent open source image labeling and learning tool.,58.0,23,True,2023-10-18 15:08:49.000,0.8.0,114.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,494.0,2895.0,,,,,,,,3.0,79254.0,,,,,,,,,,,,,,,,,,, +613,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2024-04-22 08:54:48.000000,2023-11-16 02:17:17,251.0,,27.0,9.0,5.0,21.0,60.0,308.0,Multiple Imputation with LightGBM in Python.,6.0,23,True,2023-11-16 02:24:03.000,5.7.0,45.0,miceforest,conda-forge/miceforest,,,,132.0,127.0,https://pypi.org/project/miceforest,2023-11-16 02:24:03.000,5.0,19643.0,20012.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,12181.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +614,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-12-11 19:25:59.000000,2023-11-17 21:43:05,4051.0,,49.0,14.0,712.0,217.0,204.0,278.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,23,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,108.0,100.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,2745.0,2745.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +615,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2024-04-23 13:33:35.000000,2024-04-22 13:58:48,483.0,83.0,105.0,19.0,508.0,58.0,124.0,259.0,An open-source toolkit for large-scale genomic analysis.,27.0,23,False,2024-03-12 08:52:09.000,2.0.0,16.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2024-03-12 08:52:09.000,,34140.0,34244.0,https://anaconda.org/conda-forge/glow,2024-03-13 03:00:18.463,3973.0,,,,,3.0,24.0,,,,,,,,,,,,,,,,,,, +616,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2024-03-12 10:32:40.000000,2018-07-23 21:04:09,90.0,,27.0,7.0,19.0,4.0,9.0,155.0,Get list of common stop words in various languages in Python.,8.0,23,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2336.0,2180.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,156.0,102375.0,102375.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +617,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2023-11-05 11:43:31.000000,2023-02-15 20:15:59,196.0,,545.0,82.0,37.0,59.0,26.0,10826.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",15.0,22,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,48.0,48.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,768.0,856.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,2393.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +618,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2023-06-16 18:03:39.000000,2023-03-04 05:19:44,2327.0,,606.0,145.0,1362.0,118.0,986.0,7989.0,Production infrastructure for machine learning at scale.,25.0,22,False,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,1.0,886.0,886.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +619,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,779.0,223.0,25.0,8.0,122.0,5325.0,Build Graph Nets in Tensorflow.,11.0,22,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],28.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,8.0,1550.0,1550.0,,,,,,,,3.0,,,,google-deepmind/graph_nets,,,,,,,,,,,,,,,, +620,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2023-05-02 04:54:25.000000,2021-06-13 00:22:13,176.0,,1703.0,19.0,17.0,70.0,24.0,4992.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,22,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,28.0,28.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,2656.0,2656.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +621,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-04-22 17:35:37.000000,2024-04-18 19:57:27,1591.0,35.0,810.0,146.0,1503.0,342.0,398.0,4968.0,Simple and Distributed Machine Learning.,116.0,22,True,2024-04-10 19:16:17.000,1.0.4-spark3.5,48.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +622,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2024-03-28 17:33:46.000000,2023-01-15 11:37:16,279.0,,920.0,111.0,101.0,148.0,351.0,4822.0,Backtest trading strategies in Python.,19.0,22,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,2.0,14141.0,14141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +623,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,658.0,158.0,130.0,83.0,101.0,4613.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,22,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],6.0,,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,505.0,505.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +624,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,,321.0,74.0,37.0,95.0,74.0,4388.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,22,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,51.0,51.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,503.0,503.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +625,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2023-06-16 13:24:50.216000,2019-05-22 18:27:54,1118.0,,824.0,328.0,89.0,91.0,306.0,3869.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,22,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,1.0,94.0,117.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1890.0,,,,,3.0,384.0,,,,,,,,,,,,,,,,,,, +626,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,654.0,75.0,53.0,176.0,101.0,3380.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],7.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,7.0,3199.0,3208.0,,,,,,,,3.0,560.0,,,,,,,,,,,,,,,,,,, +627,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2024-04-01 21:52:31.000000,2024-04-01 21:52:26,686.0,2.0,497.0,215.0,16.0,24.0,4.0,3355.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,22,True,2024-01-01 21:29:17.000,0.11.13,14.0,finmarketpy,,,,,13.0,13.0,https://pypi.org/project/finmarketpy,2024-01-01 21:29:17.000,,214.0,214.0,,,,,,,,3.0,51.0,,,,,,,,,,,,,,,,,,, +628,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,382.0,207.0,9.0,6.0,16.0,3137.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],149.0,146.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,3.0,1979.0,1979.0,,,,,,,,3.0,,,,google-deepmind/trfl,,,,,,,,,,,,,,,, +629,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2024-04-25 06:01:33.000000,2021-05-06 12:10:38,127.0,,156.0,48.0,64.0,2.0,30.0,3013.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,48.0,48.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,389.0,443.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1459.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +630,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2024-01-10 07:43:27.000000,2023-07-19 07:40:10,212.0,,136.0,28.0,200.0,18.0,73.0,2699.0,HiPlot makes understanding high dimensional data easy.,9.0,22,True,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,18.0,3.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,15.0,21659.0,25285.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,181312.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +631,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2024-03-05 03:41:26.000,2024-04-08 05:25:46.000000,2024-04-08 05:25:46,3457.0,3.0,727.0,7.0,1.0,406.0,855.0,2606.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,22,True,2024-03-05 10:02:36.000,0.1.0,418.0,analytics-zoo,,,,['spark'],1.0,,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,903.0,903.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +632,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,381.0,78.0,144.0,36.0,126.0,2383.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],29.0,27.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +633,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-01-30 11:59:18.000000,2024-01-30 11:58:43,345.0,9.0,341.0,42.0,68.0,161.0,95.0,1846.0,Super easy library for BERT based NLP models.,36.0,22,True,2024-01-30 11:59:18.000,2.0.25,71.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2024-01-30 11:59:18.000,2.0,1201.0,1201.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +634,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2024-01-18 18:33:20.000000,2024-01-16 17:27:35,27.0,,102.0,37.0,30.0,29.0,79.0,1791.0,"A flexible, intuitive and fast forecasting library.",10.0,22,True,2024-01-18 18:33:20.000,1.0.0,11.0,greykite,,,,,30.0,30.0,https://pypi.org/project/greykite,2024-01-12 20:13:07.000,,10141.0,10141.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,, +635,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-04-22 13:05:03.000000,2024-02-04 20:37:53,1083.0,3.0,271.0,32.0,40.0,26.0,176.0,1774.0,A library for graph deep learning research.,49.0,22,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,8.0,359.0,359.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +636,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,214.0,38.0,111.0,56.0,42.0,1708.0,"Large-scale linear classification, regression and ranking in Python.",17.0,22,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],160.0,151.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,9.0,3156.0,5392.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,206889.0,,,,,3.0,418.0,,,,,,,,,,,,,,,,,,, +637,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2024-04-08 12:49:27.000000,2021-09-29 18:48:52,239.0,,203.0,38.0,7.0,15.0,33.0,1642.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,22,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],56.0,50.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,3045.0,3045.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +638,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,291.0,44.0,801.0,71.0,485.0,1606.0,jiant is an nlp toolkit.,60.0,22,False,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,3.0,3.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +639,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2024-04-01 08:11:14.000000,2024-04-01 08:11:13,912.0,6.0,207.0,57.0,52.0,76.0,149.0,1535.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,37.0,22,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,785.0,816.0,,,,,,,,3.0,2783.0,,,,,,,,,,,,,,,,,,, +640,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2024-03-18 13:56:39.000000,2022-08-31 13:13:15,103.0,,85.0,41.0,15.0,9.0,27.0,1317.0,A Graph Neural Network Library in Jax.,17.0,22,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],177.0,164.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,13.0,12191.0,12341.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,4501.0,,,,,3.0,,,,google-deepmind/jraph,,,,,,,,,,,,,,,, +641,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,189.0,27.0,57.0,21.0,36.0,1272.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],162.0,157.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,626.0,626.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +642,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,,181.0,31.0,86.0,16.0,32.0,1262.0,"A program for financial portfolio management, analysis and optimisation.",11.0,22,True,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,93.0,92.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,1.0,592.0,592.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +643,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2024-03-26 17:17:48.000000,2023-10-17 15:42:30,833.0,,327.0,51.0,793.0,7.0,300.0,1206.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,22,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,2.0,853.0,853.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,, +644,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2024-04-16 21:45:39.000000,2024-04-16 21:45:16,187.0,3.0,108.0,37.0,25.0,17.0,115.0,1187.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,22,True,2024-04-15 01:21:13.000,2.2.1,81.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2023-12-06 05:33:15.000,8.0,5915.0,5915.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +645,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,215.0,66.0,29.0,31.0,12.0,1157.0,Anomaly Detection and Correlation library.,9.0,22,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,92.0,77.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,15.0,9174.0,9174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +646,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2024-04-13 05:26:31.000000,2023-07-16 15:16:10,420.0,,148.0,91.0,122.0,33.0,45.0,1146.0,PFRL: a PyTorch-based deep reinforcement learning library.,19.0,22,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,107.0,106.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,304.0,304.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +647,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2022-06-30 08:14:18.000000,2022-06-30 08:14:18,208.0,,109.0,52.0,98.0,41.0,51.0,1009.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],236.0,228.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,8.0,3704.0,3704.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +648,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2024-01-27 00:07:06.000000,2024-01-04 20:41:21,582.0,,293.0,96.0,121.0,62.0,97.0,1005.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",31.0,22,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],37.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,37.0,1306.0,1842.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,42891.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +649,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2024-02-13 05:58:29.000000,2024-02-13 05:55:37,305.0,2.0,89.0,18.0,73.0,18.0,44.0,953.0,Audio processing by using pytorch 1D convolution network.,15.0,22,True,2024-02-13 05:58:29.000,0.3.3,40.0,nnAudio,,,,,177.0,173.0,https://pypi.org/project/nnAudio,2024-02-13 05:58:29.000,4.0,11488.0,11488.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +650,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2024-03-20 19:51:28.000000,2024-03-20 19:28:51,85.0,2.0,193.0,24.0,58.0,12.0,27.0,929.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",18.0,22,True,2024-03-20 19:51:28.000,0.2.1,12.0,saliency,,,,['tensorflow'],87.0,81.0,https://pypi.org/project/saliency,2024-03-20 19:51:28.000,6.0,4896.0,4896.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +651,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2023-10-07 18:05:54.000000,2022-12-07 13:45:45,1234.0,,135.0,24.0,594.0,63.0,511.0,839.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,False,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,3174.0,3174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +652,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2024-04-21 20:04:21.000000,2024-04-04 17:25:59,224.0,2.0,83.0,18.0,155.0,24.0,84.0,831.0,Bayesian active learning library for research and industrial usecases.,21.0,22,True,2024-04-04 17:31:05.000,1.9.2,20.0,baal,conda-forge/baal,,,,57.0,56.0,https://pypi.org/project/baal,2024-04-04 17:29:59.000,1.0,3094.0,3299.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,8008.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +653,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,,104.0,29.0,60.0,22.0,74.0,831.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,408.0,404.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,4.0,2810.0,2810.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +654,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2024-04-25 13:27:11.000000,2024-04-24 17:17:33,1176.0,27.0,123.0,30.0,988.0,37.0,50.0,757.0,Machine learning framework for both deep learning and traditional algorithms.,37.0,22,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,,,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,429.0,429.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +655,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2024-02-10 07:16:54.000000,2021-07-30 15:06:27,104.0,,126.0,30.0,29.0,21.0,34.0,756.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,22,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],46.0,44.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,2.0,1761.0,1761.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +656,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,73.0,26.0,37.0,25.0,21.0,737.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,22,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,26.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,26.0,75656.0,75656.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,, +657,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2023-06-16 19:26:00.374000,2019-10-30 09:27:48,189.0,,81.0,21.0,12.0,,38.0,684.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,429.0,422.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,7.0,19027.0,19082.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1931.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +658,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2023-09-19 18:44:18.000000,2023-09-19 18:44:18,355.0,,118.0,18.0,78.0,23.0,34.0,682.0,Working with molecular structures in pandas DataFrames.,15.0,22,True,2023-08-28 15:31:05.000,0.5.1de,20.0,biopandas,conda-forge/biopandas,,,['pandas'],264.0,241.0,https://pypi.org/project/biopandas,2023-08-28 15:32:25.000,23.0,86528.0,88239.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,150634.0,,,,,3.0,,,,BioPandas/biopandas,,,,,,,,,,,,,,,, +659,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,,68.0,25.0,433.0,10.0,237.0,631.0,torchbearer: A model fitting library for PyTorch.,14.0,22,True,2023-12-01 18:48:07.000,0.5.5,26.0,torchbearer,,,,['pytorch'],91.0,87.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,530.0,530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +660,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2023-06-16 19:24:00.330000,2022-04-22 06:33:31,188.0,,112.0,26.0,23.0,57.0,35.0,603.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,447.0,425.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,22.0,9815.0,10284.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,18762.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +661,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2023-11-18 04:12:38.000000,2021-01-30 21:50:02,249.0,,130.0,22.0,19.0,8.0,29.0,585.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,False,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],156.0,151.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,11101.0,11101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +662,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2024-02-10 13:12:00.000000,2024-02-10 13:11:04,343.0,3.0,85.0,7.0,19.0,1.0,85.0,542.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code...,17.0,22,True,2024-02-10 13:12:00.000,0.5.7,162.0,featurewiz,,,,,69.0,67.0,https://pypi.org/project/featurewiz,2024-02-10 13:12:00.000,2.0,6987.0,6987.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +663,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2024-03-21 11:25:40.000000,2021-12-19 09:41:43,133.0,,57.0,10.0,21.0,14.0,37.0,539.0,Joyplots in Python with matplotlib & pandas.,8.0,22,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,380.0,371.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,14323.0,14737.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,25274.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +664,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2024-04-17 16:19:07.000000,2024-03-25 11:54:23,1755.0,58.0,67.0,7.0,215.0,47.0,81.0,500.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,20.0,22,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,,27.0,26.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,914.0,919.0,,,,,,,,3.0,152.0,,,,,,,,,,,,,,,,,,, +665,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2024-03-19 15:52:10.000000,2024-03-19 15:52:03,1216.0,2.0,64.0,7.0,208.0,18.0,109.0,497.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,22,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],247.0,242.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,3064.0,3064.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +666,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2024-04-15 06:19:14.000000,2024-04-15 06:19:14,282.0,5.0,105.0,13.0,130.0,18.0,138.0,471.0,A Python library for dynamic classifier and ensemble selection.,17.0,22,True,2024-04-12 03:07:31.000,0.3.7,6.0,deslib,,,,['sklearn'],50.0,47.0,https://pypi.org/project/deslib,2024-04-12 03:07:31.000,3.0,1756.0,1756.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +667,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2024-04-14 12:59:12.000000,2023-03-05 00:16:57,419.0,,99.0,36.0,276.0,71.0,173.0,466.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",19.0,22,False,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,77.0,75.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1527.0,1530.0,,,,,,,,3.0,303.0,,,,,,,,,,,,,,,,,,, +668,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2024-02-08 01:53:44.000000,2024-02-08 01:48:49,168.0,2.0,48.0,17.0,2.0,11.0,3.0,372.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,22,True,2024-02-08 01:53:44.000,0.1.3,14.0,suod,,,,,512.0,510.0,https://pypi.org/project/suod,2024-02-08 01:53:44.000,2.0,21984.0,21984.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +669,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2024-04-01 02:14:13.000000,2024-04-01 02:14:12,659.0,2.0,62.0,30.0,452.0,13.0,91.0,370.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,22,True,2023-07-18 13:09:18.000,4.0.0,40.0,vega,conda-forge/vega,,,['jupyter'],87.0,4.0,https://pypi.org/project/vega,2023-04-12 02:09:01.110,83.0,15104.0,21297.0,https://anaconda.org/conda-forge/vega,2023-06-16 13:18:03.216,582146.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +670,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,12.0,9.0,4.0,12.0,229.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,1104.0,1058.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,46.0,100114.0,101513.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,58760.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +671,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebuly,https://github.com/nebuly-ai/nebuly,Apache-2.0,2022-02-12 17:17:14.000,2023-10-28 10:19:07.000000,2023-10-28 10:19:07,763.0,,646.0,94.0,150.0,98.0,103.0,8366.0,The user analytics platform for LLMs.,40.0,21,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,794.0,794.0,,,,,,,,3.0,,,,nebuly-ai/nebuly,,,,,,,,,,,,,,,, +672,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-12-22 07:27:57.000000,2023-10-19 02:11:57,190.0,,1166.0,96.0,48.0,379.0,284.0,6273.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,21,True,,,1.0,pyslowfast,,,,['pytorch'],15.0,15.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +673,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2024-03-12 17:57:31.000000,2023-08-15 07:38:22,956.0,,542.0,166.0,46.0,37.0,28.0,4270.0,High-performance TensorFlow library for quantitative finance.,47.0,21,True,,,30.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,2.0,667.0,667.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +674,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,165.0,120.0,22.0,112.0,2928.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,21,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,9.0,9.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +675,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,398.0,101.0,54.0,64.0,48.0,2915.0,Quickly search over billions of images.,19.0,21,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,1250.0,1250.0,,,,,,,,3.0,,,,rhsimplex/image-match,,,,,,,,,,,,,,,, +676,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,327.0,73.0,2.0,18.0,7.0,2908.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],204.0,196.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,8.0,1560.0,1560.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +677,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,365.0,86.0,4.0,3.0,18.0,2169.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,21,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,49.0,48.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,1.0,923.0,923.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +678,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2024-03-20 15:45:40.000000,2023-08-26 20:55:56,106.0,,230.0,61.0,106.0,25.0,56.0,2111.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,21,True,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],17.0,17.0,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,1174.0,1174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +679,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2024-01-30 02:43:49.000000,2023-08-10 17:09:47,309.0,,157.0,23.0,33.0,31.0,31.0,1905.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",11.0,21,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],29.0,28.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,391.0,552.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,4459.0,,,,,3.0,91.0,,,,,,,,,,,,,,,,,,, +680,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2023-02-11 12:08:00.000000,2022-11-13 04:54:45,1941.0,,197.0,30.0,423.0,11.0,163.0,1653.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,21,False,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,126.0,126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +681,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2024-04-19 09:46:18.000000,2020-12-17 06:57:15,932.0,,294.0,66.0,202.0,5.0,74.0,1585.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,21,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,21.0,243.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13117.0,3.0,,,,,,,,,,,,,,,,,,,, +682,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2023-06-16 19:17:34.578000,2023-03-23 14:35:34,422.0,,281.0,71.0,728.0,53.0,64.0,1582.0,An end-to-end PyTorch framework for image and video classification.,77.0,21,False,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,550.0,926.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,19218.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +683,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,140.0,102.0,150.0,21.0,20.0,1551.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,22.0,21.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,1.0,1883.0,1883.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +684,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,273.0,65.0,51.0,23.0,75.0,1475.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,35.0,35.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,389.0,389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +685,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2024-04-17 19:59:55.000000,2024-04-17 19:59:46,779.0,6.0,182.0,18.0,262.0,77.0,94.0,1270.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,21,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,57260.0,57260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +686,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,220.0,63.0,48.0,36.0,90.0,1257.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],37.0,34.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,3.0,306.0,306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +687,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,208.0,28.0,61.0,54.0,60.0,1065.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,130.0,120.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,10.0,486.0,491.0,,,,,,,,3.0,602.0,,,,,,,,,,,,,,,,,,, +688,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,,251.0,48.0,46.0,26.0,127.0,1055.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,True,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],28.0,28.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,267.0,267.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +689,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2024-01-21 21:15:50.000000,2023-08-18 11:01:23,442.0,,210.0,53.0,86.0,64.0,206.0,1019.0,Line based ATR Engine based on OCRopy.,20.0,21,True,2023-08-18 11:50:18.000,1.0.6,41.0,calamari_ocr,,,,,5.0,,https://pypi.org/project/calamari_ocr,2023-08-18 11:50:18.000,5.0,1944.0,1944.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +690,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2024-03-29 10:21:35.000000,2023-03-29 07:39:45,85.0,,84.0,26.0,55.0,36.0,28.0,944.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,21,False,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,23.0,,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,47008.0,48394.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,42966.0,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,, +691,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2024-03-14 21:28:06.000000,2024-02-01 21:38:56,330.0,1.0,162.0,29.0,111.0,80.0,56.0,881.0,Source code/webpage/demos for the What-If Tool.,20.0,21,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,8.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,4.0,5572.0,53802.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2166123.0,,,,,3.0,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,2.0,1141.0,,,,,,,,,,, +692,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2024-04-25 03:51:57.000000,2024-04-25 03:40:02,286.0,110.0,49.0,11.0,58.0,4.0,19.0,870.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",14.0,21,True,2024-04-25 03:41:41.000,3.0.2,34.0,uform,,,,['pytorch'],7.0,6.0,https://pypi.org/project/uform,2024-04-25 03:41:41.000,1.0,1164.0,1178.0,,,,,,,,3.0,208.0,,,,,,,,,,,,,,,,,,, +693,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2022-06-06 22:38:33.000000,2022-06-06 22:38:33,57.0,,76.0,6.0,5.0,4.0,23.0,826.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,21,False,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],439.0,426.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,13.0,27446.0,27446.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +694,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,160.0,38.0,46.0,43.0,49.0,795.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,100.0,91.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,481.0,481.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +695,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2024-01-27 00:16:56.000000,2024-01-27 00:08:50,463.0,2.0,78.0,26.0,162.0,51.0,62.0,760.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,21,True,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,,['jax'],54.0,50.0,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,543.0,543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +696,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2023-07-18 10:50:27.000000,2021-02-28 18:33:06,37.0,,144.0,25.0,19.0,26.0,5.0,737.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,21,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],628.0,614.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,14.0,50441.0,50608.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,7032.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +697,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2024-04-20 08:47:50.000000,2024-03-27 18:40:09,1505.0,2.0,79.0,34.0,656.0,22.0,118.0,696.0,Scikit-learn style model finetuning for NLP.,23.0,21,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,,"['tensorflow', 'sklearn']",13.0,11.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,204.0,204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +698,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,106.0,30.0,1.0,13.0,3.0,632.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,False,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",627.0,619.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,8.0,27219.0,27219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +699,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,53.0,29.0,12.0,11.0,15.0,631.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,243.0,189.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,54.0,12282.0,12282.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +700,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2023-05-01 22:43:43.000000,2022-08-16 17:43:49,1877.0,,57.0,19.0,216.0,49.0,313.0,597.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,61.0,60.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,295.0,295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +701,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2024-01-31 14:01:51.000000,2023-02-14 11:18:28,249.0,,94.0,26.0,32.0,35.0,6.0,587.0,machine learning with logical rules in Python.,19.0,21,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],386.0,378.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,8.0,26603.0,26603.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +702,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,,64.0,28.0,31.0,5.0,24.0,563.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,49.0,47.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1886.0,1886.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +703,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2024-04-16 18:49:38.000000,2023-12-29 21:08:41,477.0,,57.0,26.0,9.0,18.0,34.0,520.0,Active Learning for Text Classification in Python.,6.0,21,True,2023-12-29 21:23:01.000,1.3.3,20.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",27.0,27.0,https://pypi.org/project/small-text,2023-12-29 21:17:11.000,,573.0,838.0,https://anaconda.org/conda-forge/small-text,2023-12-29 21:40:00.838,5581.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +704,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2023-11-17 16:30:15.000000,2021-11-18 21:06:54,172.0,,46.0,9.0,9.0,11.0,21.0,489.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,21,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,,115.0,107.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,8.0,6606.0,6606.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,, +705,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-12-15 16:29:56.000000,2023-12-15 16:28:41,2274.0,,41.0,12.0,11.0,9.0,52.0,488.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,21,True,2023-11-01 10:40:28.000,4.6.0,75.0,hyperactive,,,,,34.0,29.0,https://pypi.org/project/hyperactive,2023-10-24 14:03:36.000,5.0,3627.0,3629.0,,,,,,,,3.0,135.0,,,,,,,,,,,,,,,,,,, +706,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2024-02-04 00:13:12.000000,2023-07-18 10:24:07,542.0,,35.0,14.0,223.0,15.0,40.0,486.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,21,True,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,,"['pandas', 'spark']",22.0,20.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,10938.0,10941.0,,,,,,,,3.0,147.0,,,,,,,,,,,,,,,,,,, +707,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2024-02-24 12:21:01.000000,2023-08-12 16:28:59,266.0,,107.0,20.0,57.0,26.0,21.0,481.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,21,True,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,68.0,60.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,2125.0,2125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +708,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,78.0,24.0,12.0,48.0,49.0,414.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,128.0,114.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,14.0,4578.0,4578.0,,,,,,,,3.0,92.0,,,,,,,,,,,,,,,,,,, +709,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-09-26 14:14:12.000000,2022-09-19 16:13:14,69.0,,27.0,9.0,9.0,2.0,9.0,401.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,21,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],1297.0,1291.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,186956.0,186956.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +710,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2023-09-06 17:29:29.000000,2023-09-06 17:29:29,2412.0,,52.0,24.0,231.0,57.0,195.0,381.0,Studio: Simplify and expedite model building process.,24.0,21,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,689.0,689.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +711,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2024-04-24 09:11:29.000000,2024-04-24 09:11:29,818.0,8.0,25.0,7.0,74.0,30.0,22.0,361.0,Flexible time series feature extraction & processing.,6.0,21,True,2024-04-04 10:31:07.000,0.4.0,37.0,tsflex,conda-forge/tsflex,,,,13.0,12.0,https://pypi.org/project/tsflex,2024-04-04 10:23:01.000,1.0,1020.0,1650.0,https://anaconda.org/conda-forge/tsflex,2024-04-08 09:54:58.786,20821.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +712,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,49.0,11.0,37.0,29.0,37.0,348.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,243.0,228.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,15.0,6850.0,6850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +713,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,,33.0,18.0,6.0,18.0,21.0,305.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,21,True,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],95.0,94.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,1.0,1661.0,1661.0,,,,,,,,3.0,,,,google-deepmind/launchpad,,,,,,,,,,,,,,,, +714,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/vega/vegafusion,https://github.com/vega/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2024-04-12 11:56:49.287000,2024-04-11 22:00:10,655.0,22.0,11.0,24.0,343.0,43.0,83.0,289.0,Serverside scaling for Vega and Altair visualizations.,3.0,21,False,2024-04-11 22:12:06.000,1.6.7,73.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,3.0,,https://pypi.org/project/vegafusion-jupyter,2024-04-11 22:04:14.000,1.0,1934.0,6626.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2024-04-12 11:56:49.287,107843.0,,,,,3.0,5087.0,,,vega/vegafusion,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-04-11 22:08:30.475,2.0,191.0,,,,,,,,,,, +715,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2024-04-18 12:38:22.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,42.0,8.0,10.0,286.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,21,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",18.0,16.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,419322.0,419322.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +716,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2024-03-12 15:58:25.000000,2024-03-12 15:58:25,48.0,1.0,2238.0,148.0,89.0,254.0,286.0,12833.0,End-to-End Object Detection with Transformers.,27.0,20,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +717,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-04-24 23:28:34.000000,2020-04-18 19:15:25,24.0,,1094.0,141.0,44.0,34.0,10.0,8270.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,20,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],48.0,46.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,2.0,1041.0,1041.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +718,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,475.0,85.0,180.0,108.0,161.0,3567.0,A high performance and generic framework for distributed DNN training.,21.0,20,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,71.0,93.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1333.0,3.0,,,,,,,,,,,,,,,,,,,, +719,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,,357.0,96.0,16.0,53.0,17.0,3368.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,True,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,149.0,142.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,845.0,845.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +720,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-03-03 01:41:37.000000,2024-03-03 01:31:19,412.0,2.0,323.0,53.0,414.0,79.0,106.0,3229.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,20,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],1.0,,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +721,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,316.0,59.0,242.0,174.0,110.0,3096.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,20.0,20,True,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,2229.0,2241.0,,,,,,,,3.0,673.0,,,,,,,,,,,,,,,,,,, +722,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,168.0,65.0,54.0,6.0,44.0,3078.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,20,True,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,4.0,4.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,228.0,228.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,, +723,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2024-04-02 17:52:52.000000,2021-06-15 18:41:51,22.0,,268.0,31.0,22.0,27.0,37.0,3023.0,A small package to create visualizations of PyTorch execution graphs.,6.0,20,False,,,,,,,,,1771.0,1771.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +724,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,332.0,101.0,1000.0,94.0,260.0,2826.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +725,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,827.0,85.0,30.0,45.0,80.0,2647.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,76.0,69.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,7.0,616.0,616.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +726,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,455.0,127.0,225.0,87.0,183.0,2309.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,False,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +727,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,,251.0,54.0,35.0,15.0,105.0,2053.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,20,True,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,7612.0,7612.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +728,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,178.0,55.0,895.0,129.0,586.0,1901.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",50.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,18.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1020.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +729,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,157.0,46.0,3.0,13.0,15.0,1534.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,20,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],27.0,27.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,2315.0,2315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +730,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,356.0,61.0,47.0,37.0,72.0,1477.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,20,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],38.0,32.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,141.0,141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +731,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,405.0,102.0,36.0,13.0,24.0,1421.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +732,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,101.0,40.0,13.0,14.0,9.0,1267.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,141.0,140.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,1.0,3291.0,3291.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +733,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,169.0,56.0,14.0,30.0,19.0,1016.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,186.0,174.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,12.0,851.0,1089.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,8352.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +734,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,184.0,52.0,12.0,16.0,42.0,1005.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],83.0,79.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +735,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,133.0,36.0,16.0,8.0,4.0,922.0,Nudity detection with Python.,12.0,20,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3634.0,3622.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,12.0,776.0,776.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +736,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2023-06-10 14:57:37.569000,2023-06-05 01:35:02,228.0,,129.0,18.0,24.0,28.0,39.0,819.0,python partial dependence plot toolbox.,7.0,20,True,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,19519.0,19873.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,20193.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +737,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,148.0,36.0,33.0,25.0,39.0,757.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,20,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,121.0,105.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,16.0,919.0,919.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +738,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2023-03-30 20:05:58.000000,2019-11-15 21:43:53,221.0,,158.0,78.0,98.0,51.0,43.0,751.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000,0.6.0,6.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,10699.0,10699.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +739,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-04-25 13:28:17.000000,2024-04-25 13:16:31,491.0,1.0,110.0,33.0,558.0,206.0,246.0,687.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,20,True,2024-01-15 02:09:18.000,23.12.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,3464.0,3464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +740,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2024-04-03 18:32:28.000000,2021-09-16 17:56:31,171.0,,143.0,34.0,82.0,14.0,55.0,616.0,Code for the TCAV ML interpretability project.,19.0,20,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],22.0,19.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,231.0,231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +741,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2023-07-28 19:05:13.000000,2022-02-09 16:35:40,142.0,,104.0,23.0,25.0,43.0,61.0,607.0,Build fully-functioning computer vision models with PyTorch.,12.0,20,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],170.0,168.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,1781.0,1892.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3774.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +742,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2023-06-16 16:12:33.889000,2022-06-08 03:46:02,305.0,,103.0,10.0,14.0,5.0,16.0,573.0,Make Waffle Charts in Python.,6.0,20,False,2022-06-08 03:10:36.000,1.1.0,27.0,pywaffle,conda-forge/pywaffle,,,,353.0,349.0,https://pypi.org/project/pywaffle,2022-06-08 03:10:36.000,4.0,6218.0,6400.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,11698.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +743,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2024-01-11 20:34:53.000000,2023-10-04 12:31:54,297.0,,97.0,15.0,53.0,13.0,15.0,558.0,A library of metrics for evaluating recommender systems.,20.0,20,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,51.0,51.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,18896.0,18896.0,,,,,,,,3.0,6.0,,,,,,,,,,,,,,,,,,, +744,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,166.0,56.0,20.0,39.0,60.0,544.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,34.0,29.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,5.0,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +745,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,,57.0,59.0,9.0,25.0,25.0,529.0,Python library assists deep learning on graphs.,18.0,20,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,97.0,95.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,2.0,361.0,361.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,, +746,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2024-03-30 13:25:33.000000,2024-03-30 13:25:33,69.0,5.0,51.0,18.0,9.0,12.0,10.0,492.0,Topological Data Analysis for Python.,6.0,20,True,2024-03-17 19:09:40.000,1.1.0,5.0,scikit-tda,,,,['sklearn'],55.0,55.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000,,3181.0,3181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +747,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2023-12-03 19:05:32.000000,2023-12-03 19:05:16,320.0,,97.0,26.0,6.0,3.0,31.0,490.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,8.0,20,True,2023-05-21 22:50:00.406,0.1.716,142.0,autoviml,,,,,26.0,24.0,https://pypi.org/project/autoviml,2022-06-01 23:08:15.000,2.0,1113.0,1113.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +748,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-12-26 14:50:12.000000,2023-12-26 14:50:08,383.0,,99.0,18.0,9.0,5.0,41.0,443.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,20,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,53.0,53.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,2840.0,2840.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +749,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,,83.0,20.0,247.0,10.0,23.0,402.0,A toolkit that streamlines and automates the generation of model cards.,22.0,20,True,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,24.0,23.0,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1778.0,1778.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,, +750,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-06-16 16:08:23.527000,2021-02-15 17:10:59,283.0,,68.0,24.0,48.0,15.0,19.0,397.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",14.0,20,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],47.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,47.0,4558.0,4991.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,32535.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +751,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2024-02-20 11:57:52.000000,2023-11-17 08:50:12,72.0,,61.0,8.0,12.0,11.0,18.0,370.0,TextAugment: Text Augmentation Library.,8.0,20,True,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,,95.0,91.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,4392.0,4393.0,,,,,,,,3.0,65.0,,,,,,,,,,,,,,,,,,, +752,TimeSide,Parisson/TimeSide,audio,,https://github.com/yomguy/TimeSide,https://github.com/yomguy/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-10-24 10:20:08.000000,2023-02-01 10:38:52,3728.0,,61.0,28.0,110.0,33.0,184.0,365.0,scalable audio processing framework and server written in Python.,22.0,20,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,31.0,17.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,14.0,122.0,122.0,,,,,,,,3.0,,,,yomguy/TimeSide,,,,,,,,,,,,,,,, +753,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,47.0,25.0,19.0,15.0,16.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],245.0,239.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,6.0,2536.0,2536.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +754,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2024-04-25 13:26:34.000000,2024-04-16 09:11:49,723.0,34.0,24.0,5.0,276.0,5.0,,290.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,12.0,20,False,2024-04-16 09:44:20.000,1.1.273,679.0,upgini,,,,,6.0,6.0,https://pypi.org/project/upgini,2024-04-22 16:53:04.000,,6880.0,6880.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +755,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2024-03-27 12:25:36.647000,2024-03-27 08:46:27,190.0,11.0,41.0,19.0,3.0,10.0,8.0,282.0,Analyze Data with Pandas-based Networks. Documentation:.,3.0,20,False,2024-03-27 10:16:33.000,0.2.4,14.0,deepgraph,conda-forge/deepgraph,,,['pandas'],9.0,9.0,https://pypi.org/project/deepgraph,2024-03-27 10:16:33.000,,2078.0,6312.0,https://anaconda.org/conda-forge/deepgraph,2024-03-27 12:25:36.647,177843.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +756,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2024-01-18 11:58:52.000000,2024-01-18 11:58:51,626.0,,67.0,28.0,31.0,30.0,113.0,262.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,20,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,12.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,12.0,2070.0,4132.0,https://anaconda.org/conda-forge/somoclu,2023-10-13 23:30:32.439,85909.0,,,,,3.0,1905.0,,,,,,,,,,,,,,,,,,, +757,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2024-04-22 05:48:41.000000,2023-07-02 18:02:16,1462.0,,45.0,15.0,177.0,21.0,64.0,240.0,Python Implementation and Extension of RDF2Vec.,7.0,20,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,42.0,40.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,2.0,406.0,406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +758,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2024-03-21 11:20:10.000000,2024-03-21 11:20:09,585.0,3.0,33.0,24.0,638.0,21.0,128.0,239.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,20,False,2023-08-10 10:30:37.000,0.13.0,20.0,larq-compute-engine,,,,,7.0,7.0,https://pypi.org/project/larq-compute-engine,2023-08-10 10:30:37.000,,1394.0,1414.0,,,,,,,,3.0,1012.0,,,,,,,,,,,,,,,,,,, +759,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,227.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,434.0,420.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,14.0,1330.0,1334.0,,,,,,,,3.0,375.0,,,,,,,,,,,,,,,,,,, +760,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-04-09 15:16:39.000000,2024-04-09 15:16:39,371.0,1.0,146.0,17.0,71.0,18.0,39.0,1681.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,17.0,19,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],21.0,21.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,733.0,733.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +761,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,93.0,34.0,72.0,31.0,30.0,1097.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,19,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],2.0,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,2.0,10065.0,10065.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +762,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,138.0,17.0,11.0,41.0,43.0,1055.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,19,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],130.0,125.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,3352.0,3352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +763,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2024-01-14 08:39:28.000000,2020-04-17 02:27:44,79.0,,142.0,25.0,76.0,49.0,36.0,1024.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,19,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,2.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,2.0,256182.0,256343.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,7912.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +764,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,143.0,14.0,24.0,58.0,69.0,849.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,98.0,97.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,473.0,473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +765,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,227.0,30.0,38.0,41.0,21.0,838.0,An open source python library for scalable Bayesian optimisation.,13.0,19,False,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,2.0,3129.0,3129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +766,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2024-01-16 09:19:50.000000,2024-01-16 09:12:58,32.0,,81.0,14.0,35.0,3.0,23.0,797.0,Leave One Feature Out Importance.,6.0,19,True,2024-01-16 09:19:50.000,0.3.4,14.0,lofo-importance,,,,,31.0,27.0,https://pypi.org/project/lofo-importance,2024-01-16 09:19:50.000,4.0,3832.0,3832.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +767,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-10-03 19:59:49.000000,2023-08-29 06:49:30,294.0,,69.0,22.0,47.0,11.0,17.0,783.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,19,True,2023-08-29 06:52:02.000,0.2.16,22.0,evojax,conda-forge/evojax,,,['jax'],21.0,19.0,https://pypi.org/project/evojax,2023-08-29 06:52:02.000,2.0,672.0,1568.0,https://anaconda.org/conda-forge/evojax,2023-08-29 10:08:55.843,23311.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +768,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2023-04-23 10:08:18.000000,2020-04-25 18:37:42,198.0,,102.0,26.0,48.0,19.0,35.0,729.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,28.0,26.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,507.0,507.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +769,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,,75.0,39.0,17.0,13.0,22.0,564.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,20.0,19,True,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,35.0,31.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,327.0,327.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +770,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2023-07-09 16:15:44.000000,2023-07-09 16:09:49,767.0,,63.0,17.0,111.0,8.0,48.0,557.0,A simplified framework and utilities for PyTorch.,20.0,19,False,2023-07-09 16:15:44.000,1.17.1,37.0,poutyne,,,,['pytorch'],138.0,133.0,https://pypi.org/project/poutyne,2022-04-28 20:18:33.000,5.0,4741.0,4741.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +771,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,67.0,13.0,10.0,23.0,41.0,540.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,19,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,48.0,48.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,1333.0,1333.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +772,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2024-02-21 14:38:09.000000,2024-02-21 14:09:04,30.0,1.0,68.0,6.0,5.0,4.0,29.0,532.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,3.0,19,True,2024-02-21 14:38:09.000,0.2.7,10.0,shap-hypetune,,,,,17.0,15.0,https://pypi.org/project/shap-hypetune,2024-02-21 14:34:22.000,2.0,1803.0,1803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +773,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2023-10-04 01:35:07.000000,2023-09-04 05:41:43,372.0,,97.0,28.0,21.0,37.0,12.0,467.0,A python library for Bayesian time series modeling.,6.0,19,True,2023-05-07 06:30:08.000,0.1.1.12,14.0,pydlm,,,,,35.0,33.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000,2.0,22751.0,22751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +774,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,32.0,16.0,148.0,39.0,66.0,465.0,A High Level API for Deep Learning in JAX.,18.0,19,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",46.0,46.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,281.0,281.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +775,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2024-02-08 01:27:56.000000,2023-01-13 21:57:34,832.0,,55.0,,,,,431.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,19,False,2024-02-08 01:27:56.000,0.12.1,49.0,sklearn-evaluation,,,,['sklearn'],5.0,,https://pypi.org/project/sklearn-evaluation,2024-02-08 01:27:56.000,5.0,3339.0,3339.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +776,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2024-04-25 00:05:50.000000,2024-04-25 00:05:45,325.0,7.0,78.0,25.0,342.0,21.0,9.0,330.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,36.0,19,True,2023-05-03 23:01:17.460,0.44.0,30.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2022-12-13 19:06:03.653,,1771.0,1771.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +777,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2024-04-22 00:55:01.000000,2024-04-20 15:27:32,496.0,4.0,53.0,14.0,79.0,13.0,35.0,247.0,Represent trained machine learning models as Pyomo optimization formulations.,17.0,19,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,2022-02-08 01:23:07.000,1.0,13174.0,13174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +778,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,,20.0,18.0,464.0,90.0,76.0,231.0,Functional tensors for probabilistic programming.,11.0,19,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],74.0,67.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,7.0,4638.0,4638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +779,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2023-05-01 07:53:03.000000,2023-05-01 07:50:02,24.0,,23.0,8.0,11.0,5.0,9.0,212.0,A Python module to convert natural language numerics into ints and floats.,4.0,19,False,2023-05-01 07:55:52.405,0.2.3,11.0,numerizer,,,,,78.0,76.0,https://pypi.org/project/numerizer,2023-01-03 08:08:01.830,2.0,31486.0,31486.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +780,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2024-04-24 21:09:41.000000,2024-04-24 21:09:38,861.0,8.0,17.0,8.0,182.0,11.0,23.0,151.0,Toolkit for developing and maintaining ML models.,14.0,19,False,2024-02-02 14:57:28.000,0.1.2,35.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2024-02-02 14:55:53.000,,9115.0,9115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +781,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,765.0,339.0,58.0,2.0,,6686.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,18,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,65.0,72.0,,,,,,,,3.0,338.0,,,,,,,,,,,,,,,,,,, +782,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,891.0,112.0,51.0,46.0,159.0,6220.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +783,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2024-04-25 10:47:45.000000,2024-04-25 10:47:40,686.0,34.0,395.0,39.0,820.0,149.0,111.0,2995.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,81.0,18,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +784,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,412.0,106.0,83.0,67.0,48.0,2944.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,104.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8543.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +785,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,463.0,79.0,36.0,83.0,68.0,1679.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,170.0,170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +786,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2023-03-03 23:59:33.000000,2022-05-24 23:48:09,791.0,,71.0,25.0,1004.0,127.0,65.0,1643.0,Version control for machine learning.,17.0,18,False,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,439.0,439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +787,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,,174.0,22.0,20.0,16.0,30.0,1601.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,18,False,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,4.0,4.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,102.0,102.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,, +788,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,253.0,56.0,65.0,8.0,31.0,1366.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,2.0,2.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +789,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,156.0,44.0,5.0,4.0,7.0,1059.0,XAI - An eXplainability toolbox for machine learning.,3.0,18,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,33.0,27.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,6.0,273.0,273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +790,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2024-02-10 16:41:21.000000,2024-02-10 16:41:20,438.0,2.0,192.0,61.0,7.0,13.0,29.0,1051.0,Python AutoML for Trading Systems and Sports Betting.,5.0,18,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,4.0,4.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,137.0,137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +791,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2024-01-11 13:06:10.000000,2022-02-14 20:43:06,145.0,,176.0,18.0,42.0,22.0,59.0,889.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,18,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,177.0,174.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,561.0,749.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,8314.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +792,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,188.0,33.0,15.0,18.0,22.0,783.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,18,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],14.0,13.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,1.0,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +793,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2024-01-28 21:21:14.000000,2024-01-28 21:21:14,295.0,7.0,107.0,17.0,24.0,1.0,85.0,673.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",12.0,18,True,2024-01-28 14:11:58.000,0.0.90,37.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2024-01-28 14:11:58.000,,5843.0,5843.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +794,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2023-10-01 08:59:57.840000,2021-04-11 07:50:00,405.0,,29.0,18.0,42.0,6.0,18.0,592.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,False,2020-11-15 13:40:18.000,0.4.2,15.0,baikal,conda-forge/cython-blis,,,,12.0,11.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,302.0,48704.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2081321.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +795,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,139.0,58.0,72.0,18.0,71.0,523.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,18,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,19.0,19.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +796,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2024-01-10 20:36:33.000000,2021-11-25 23:08:43,204.0,,92.0,24.0,19.0,5.0,20.0,457.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],12.0,12.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +797,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2024-03-27 15:12:17.000000,2024-01-10 08:10:55,2818.0,,63.0,11.0,255.0,9.0,109.0,427.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,22.0,18,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +798,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,,105.0,72.0,7.0,15.0,19.0,421.0,semantic similarity framework for knowledge graph.,10.0,18,True,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,49.0,46.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,3.0,421.0,421.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +799,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2023-06-16 16:14:07.121000,2020-10-05 06:14:18,178.0,,39.0,10.0,29.0,17.0,17.0,405.0,A python package for animating plots build on matplotlib.,7.0,18,False,2020-10-05 06:20:52.000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,61.0,58.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000,3.0,221.0,431.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,13072.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +800,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-03-18 12:01:04.000000,2024-03-18 12:01:00,5152.0,1.0,38.0,12.0,1.0,2.0,80.0,401.0,Deep Learning PyTorch.,1.0,18,True,2024-01-09 05:17:07.000,0.5.0,103.0,carefree-learn,,,,['pytorch'],5.0,5.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,430.0,430.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +801,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,30.0,11.0,121.0,31.0,150.0,345.0,Open source production model management tool for data scientists.,6.0,18,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,159.0,159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +802,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2023-03-07 22:10:10.175000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,4.0,26.0,340.0,Camphr - NLP libary for creating pipeline components.,8.0,18,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],15.0,13.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,308.0,308.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +803,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,51.0,11.0,60.0,17.0,41.0,329.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,39.0,35.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,233.0,233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +804,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2023-11-09 23:19:49.000000,2023-11-09 23:18:48,634.0,,42.0,13.0,63.0,4.0,56.0,315.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,18,True,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],33.0,31.0,https://pypi.org/project/ivis,2022-03-10 14:57:02.000,2.0,935.0,935.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +805,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,79.0,19.0,93.0,30.0,18.0,314.0,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,18,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",11.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,11.0,2082.0,2082.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,, +806,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,27.0,22.0,239.0,24.0,25.0,299.0,Textpipe: clean and extract metadata from text.,29.0,18,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +807,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2023-12-04 13:11:50.000000,2023-12-04 13:11:50,418.0,,76.0,22.0,431.0,27.0,51.0,268.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,31.0,18,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,2.0,2.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,163.0,163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +808,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2023-07-17 13:39:53.000000,2022-07-12 07:44:31,366.0,,19.0,6.0,31.0,20.0,39.0,262.0,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,54.0,51.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,257.0,257.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +809,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2024-03-20 15:29:38.000000,2023-06-15 16:53:55,703.0,,43.0,11.0,60.0,31.0,47.0,235.0,Scikit-learn compatible estimation of general graphical models.,7.0,18,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],16.0,13.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,3.0,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +810,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2024-04-08 15:16:55.000000,2024-04-08 15:03:47,262.0,2.0,31.0,11.0,199.0,21.0,75.0,194.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",12.0,18,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],36.0,35.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,787.0,787.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +811,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2023-07-28 07:11:13.000000,2019-03-06 20:41:09,5.0,,57.0,5.0,2.0,2.0,1.0,129.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,9168.0,8982.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,186.0,387308.0,387342.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1124.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +812,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1343.0,468.0,21.0,56.0,167.0,7022.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,google-deepmind/lab,,,,,,,,,,,,,,,, +813,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2024-01-10 11:52:49.000000,2024-01-10 11:52:48,177.0,,1028.0,119.0,24.0,14.0,352.0,4245.0,An Open-Source Package for Neural Relation Extraction (NRE).,13.0,17,True,,,,,,,,,3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +814,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2024-03-14 09:28:18.000000,2022-06-21 18:24:09,30.0,,985.0,63.0,13.0,44.0,25.0,3586.0,Implementation and experiments of graph embedding algorithms.,9.0,17,False,,,,,,,,['sklearn'],32.0,32.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +815,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,255.0,52.0,13.0,20.0,13.0,1538.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,42.0,63.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1688.0,3.0,,,,,,,,,,,,,,,,,,,, +816,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,144.0,17.0,11.0,25.0,18.0,1156.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],54.0,52.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,317.0,317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +817,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,58.0,15.0,10.0,26.0,17.0,750.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,48.0,48.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,377.0,377.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +818,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-10-13 12:16:35.000000,2023-04-01 08:26:45,5080.0,,111.0,19.0,58.0,2.0,13.0,749.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,17,True,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,4706.0,4706.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,, +819,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2023-06-16 19:27:38.210000,2022-04-07 20:49:56,235.0,,36.0,12.0,13.0,8.0,16.0,748.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,17,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],35.0,35.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,2324.0,2420.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,2906.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +820,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,65.0,17.0,21.0,29.0,50.0,673.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,17,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +821,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-12-21 13:50:16.000000,2023-12-21 13:50:13,819.0,,41.0,15.0,18.0,,20.0,594.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,17,True,2023-09-22 14:58:06.000,3.1.3,27.0,opytimizer,,,,,16.0,16.0,https://pypi.org/project/opytimizer,2022-05-04 20:51:15.000,,184.0,184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +822,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2024-04-24 13:49:55.000000,2024-02-11 10:10:08,681.0,1.0,69.0,31.0,79.0,15.0,25.0,394.0,A Python implementation of active inference for Markov Decision Processes.,14.0,17,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,9.0,9.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,317.0,317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +823,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-03-01 15:54:36.000000,2024-01-15 19:35:42,191.0,,53.0,10.0,17.0,10.0,29.0,389.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,17,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,1097.0,1097.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +824,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2023-12-12 01:10:32.000000,2023-11-27 22:11:53,398.0,,129.0,34.0,323.0,81.0,130.0,323.0,Brain Imaging Analysis Kit.,35.0,17,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,1.0,,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,1.0,117.0,135.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1821.0,3.0,,,,,,,,,,,,,,,,,,,, +825,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2023-03-28 03:38:13.000000,2023-03-28 03:38:13,1094.0,,69.0,28.0,57.0,30.0,32.0,291.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,17,False,2021-05-15 01:39:45.000,0.3.0,10.0,bluefog,,,,['pytorch'],3.0,3.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,85.0,88.0,,,,,,,,3.0,172.0,,,,,,,,,,,,,,,,,,, +826,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,8.0,44.0,226.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,25.0,23.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +827,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2024-04-01 22:09:11.000000,2024-03-02 11:17:16,371.0,1.0,38.0,6.0,133.0,,35.0,223.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,2515.0,2624.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,2955.0,,,,,3.0,,,,aniketmaurya/chitra,,,,,,,,,,,,,,,, +828,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2024-02-13 04:16:38.000000,2020-04-04 19:26:37,127.0,,29.0,5.0,5.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,17,False,,,23.0,parfit,,,,['sklearn'],27.0,27.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,3292.0,3292.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +829,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,539.0,176.0,110.0,54.0,149.0,3914.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +830,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,167.0,61.0,10.0,26.0,6.0,1840.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,41.0,41.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,, +831,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,57.0,34.0,22.0,13.0,1267.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,16,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +832,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,116.0,18.0,295.0,3.0,69.0,1051.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,16,True,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,6.0,6.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +833,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,110.0,20.0,37.0,20.0,8.0,1037.0,Distributed Computing for AI Made Simple.,5.0,16,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,71.0,70.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,89.0,89.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +834,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,,56.0,18.0,7.0,1.0,10.0,797.0,MADGRAD Optimization Method.,2.0,16,True,,,4.0,madgrad,,,,['pytorch'],79.0,78.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,4167.0,4167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +835,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,,87.0,16.0,15.0,10.0,22.0,723.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],16.0,16.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,263.0,263.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +836,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,,123.0,42.0,435.0,25.0,130.0,707.0,GPU accelerated signal processing.,46.0,16,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +837,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,100.0,24.0,101.0,37.0,84.0,701.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,1.0,117.0,123.0,,,,,,,,3.0,416.0,,,,,,,,,,,,,,,,,,, +838,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2024-01-29 12:26:32.000000,2024-01-29 12:26:25,611.0,1.0,87.0,25.0,4.0,39.0,42.0,687.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,16,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,275.0,275.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +839,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,92.0,18.0,19.0,3.0,29.0,627.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,16,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,14.0,14.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +840,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,,98.0,39.0,106.0,12.0,51.0,552.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,12.0,16,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,97.0,100.0,,,,,,,,3.0,221.0,,,vaticle/typedb-ml,,,,,,,,,,,,,,,, +841,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84.0,36.0,47.0,5.0,12.0,406.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,3.0,2.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +842,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,15.0,39.0,2.0,13.0,395.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],10.0,10.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +843,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2024-02-25 19:50:49.000000,2024-02-25 19:50:49,174.0,2.0,38.0,22.0,5.0,11.0,23.0,352.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,2.0,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +844,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,33.0,23.0,21.0,17.0,10.0,345.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,94.0,87.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,7.0,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +845,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,24.0,11.0,8.0,1.0,10.0,235.0,scikit-learn wrappers for Python fastText.,9.0,16,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],14.0,14.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,738.0,738.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +846,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2023-12-15 03:22:24.000000,2023-12-15 03:22:22,207.0,,12.0,8.0,2.0,,5.0,192.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,16,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +847,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,43.0,1.0,,,,190.0,Pytorch framework for doing deep learning on point clouds.,29.0,16,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,1027.0,1027.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +848,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,13.0,54.0,16.0,50.0,134.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,16,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,57.0,52.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +849,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2024-02-21 16:29:12.000000,2023-03-31 15:44:32,231.0,,20.0,28.0,53.0,7.0,7.0,105.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,16,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],41.0,41.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,146.0,146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +850,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,,982.0,103.0,28.0,27.0,355.0,3716.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +851,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560.0,140.0,28.0,217.0,102.0,2873.0,A distributed graph deep learning framework.,5.0,15,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +852,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,423.0,143.0,72.0,12.0,53.0,2198.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +853,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2024-04-03 18:25:21.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,22.0,42.0,85.0,1266.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,15,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +854,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,219.0,39.0,40.0,60.0,34.0,1132.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +855,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2022-12-27 06:48:51.000000,2021-04-16 18:50:54,57.0,,121.0,50.0,21.0,15.0,9.0,832.0,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],15.0,15.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +856,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,203.0,42.0,667.0,28.0,27.0,816.0,Translate - a PyTorch Language Library.,88.0,15,False,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +857,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,113.0,27.0,10.0,25.0,51.0,783.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,15,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1012.0,1012.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +858,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,39.0,24.0,4.0,4.0,2.0,676.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],7.0,5.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +859,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,55.0,16.0,83.0,18.0,49.0,570.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,False,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +860,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,88.0,21.0,18.0,22.0,2.0,510.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,11.0,11.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,181.0,181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +861,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-04-13 12:16:16.000000,2024-01-25 16:57:26,261.0,,67.0,19.0,98.0,19.0,15.0,490.0,"Research workflows made easy, locally and in the Cloud.",10.0,15,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,,,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +862,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-03-18 22:30:20.000000,2024-03-18 22:30:15,140.0,4.0,41.0,20.0,169.0,5.0,64.0,461.0,A collection of tools for neural compression enthusiasts.,10.0,15,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +863,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2024-04-21 03:30:12.000000,2024-04-21 03:30:09,79.0,4.0,58.0,16.0,64.0,7.0,9.0,438.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",4.0,15,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,9.0,9.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +864,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,56.0,18.0,6.0,6.0,,391.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,10.0,9.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,38.0,172.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,6046.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +865,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,15.0,11.0,6.0,9.0,6.0,307.0,Drift Detection for your PyTorch Models.,4.0,15,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],26.0,26.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,193.0,193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +866,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,19.0,13.0,271.0,70.0,175.0,295.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,705.0,705.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +867,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,16.0,7.0,2.0,13.0,229.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,6.0,5.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,219.0,219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +868,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,27.0,10.0,15.0,6.0,4.0,222.0,Draw interactive NetworkX graphs with Altair.,3.0,15,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],8.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,8.0,982.0,982.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +869,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,18.0,5.0,2.0,16.0,23.0,188.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,15,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],11.0,11.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,579.0,579.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +870,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-01-09 19:00:03.000000,2024-01-09 18:05:38,305.0,,9.0,5.0,3.0,1.0,,129.0,Data Analysis Baseline Library.,24.0,15,False,2023-02-28 01:21:03.335,0.2.5,17.0,dabl,,,,['sklearn'],1.0,,https://pypi.org/project/dabl,2024-01-09 18:32:27.000,1.0,3463.0,3463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +871,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,MIT,,2024-04-24 11:56:39.000000,,,,,,,,,,Supercharging Machine Learning.,,15,True,2024-04-10 15:22:19.000,3.40.0,284.0,comet_ml,comet_ml,,,,67.0,,https://pypi.org/project/comet_ml,2024-04-24 11:56:39.000,67.0,176734.0,176734.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +872,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2022-11-21 22:24:51.000000,2018-09-19 19:27:00,59.0,,825.0,77.0,34.0,116.0,59.0,3297.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +873,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2024-01-10 11:53:25.000000,2024-01-10 11:53:25,104.0,,483.0,67.0,26.0,5.0,97.0,1672.0,An Open-Source Package for Network Embedding (NE).,12.0,14,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +874,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2023-06-16 16:16:18.265000,2021-01-14 02:18:46,15.0,,149.0,32.0,,53.0,59.0,1193.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,False,,,4.0,,milagraph/graphvite,,,,,,,,,,83.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4702.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +875,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2024-02-27 22:17:46.000000,2024-02-05 15:11:35,743.0,1.0,117.0,28.0,111.0,13.0,24.0,1068.0,An autoML framework & toolkit for machine learning on graphs.,15.0,14,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +876,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2023-09-18 15:13:22.392000,,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,14,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,1.0,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,1.0,516.0,1949.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,64504.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +877,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-02-05 16:37:11.000000,2024-02-05 16:37:10,152.0,1.0,67.0,19.0,177.0,87.0,16.0,400.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,14,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,99.0,99.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +878,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,40.0,12.0,17.0,2.0,5.0,372.0,A PyTorch Graph Neural Network Library.,8.0,14,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +879,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,37.0,11.0,8.0,10.0,3.0,339.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,1504.0,1504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +880,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HMUNACHI/nanodl,https://github.com/HMUNACHI/nanodl,MIT,2023-08-22 13:22:24.000,2024-04-13 17:06:03.000000,2024-04-13 17:06:03,147.0,85.0,8.0,8.0,15.0,2.0,7.0,251.0,A Jax-based library for designing and training transformer models from scratch.,3.0,14,False,,,5.0,nanodl,,,,['jax'],,,https://pypi.org/project/nanodl,2024-03-26 18:15:37.000,,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +881,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21,219.0,,11.0,16.0,14.0,5.0,4.0,240.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,14,False,2021-04-20 13:53:12.000,0.1.2,14.0,backprop,,,,,2.0,2.0,https://pypi.org/project/backprop,2021-04-20 13:53:12.000,,238.0,238.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +882,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,32.0,8.0,72.0,31.0,8.0,232.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,False,,,27.0,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +883,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,486.0,109.0,12.0,39.0,8.0,2684.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +884,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,81.0,48.0,4.0,3.0,,2466.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,1396.0,1398.0,,,,,,,,3.0,58.0,,,,,,,,,,,,,,,,,,, +885,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,178.0,38.0,10.0,13.0,3.0,1345.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +886,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2024-03-26 16:48:56.000000,2024-01-29 19:20:57,64.0,1.0,43.0,11.0,9.0,3.0,12.0,697.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,13,True,,,,rliable`,,,,,126.0,126.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +887,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53,465.0,,18.0,11.0,57.0,4.0,20.0,291.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +888,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,28.0,8.0,6.0,8.0,8.0,243.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,13,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +889,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-01-09 14:26:49.000000,2024-01-09 14:26:42,74.0,,26.0,8.0,16.0,4.0,6.0,191.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,13,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +890,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,35.0,14.0,18.0,27.0,18.0,122.0,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +891,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-02-28 09:09:14.000000,2023-11-24 19:47:45,314.0,,7.0,7.0,126.0,7.0,9.0,106.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,13,False,2023-11-24 19:49:33.000,0.2.7,9.0,,,,,['jax'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +892,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,12.0,7.0,20.0,3.0,,50.0,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,33.0,33.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,37.0,37.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +893,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2023-07-14 11:30:56.000000,2021-02-03 08:52:27,857.0,,2.0,3.0,3.0,7.0,6.0,32.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,13,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,6.0,6.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,172.0,172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +894,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2024-03-28 08:06:49.000000,2022-02-09 22:20:11,9.0,,469.0,93.0,21.0,52.0,15.0,3260.0,AutoML algorithms for model architecture search at scale.,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +895,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,401.0,63.0,6.0,62.0,17.0,1832.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +896,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,315.0,87.0,11.0,12.0,6.0,1702.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +897,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,53.0,17.0,3.0,2.0,1.0,527.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,12,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,3.0,3.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +898,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2024-04-24 13:48:16.000000,2022-11-21 12:12:41,1044.0,,11.0,6.0,26.0,1.0,2.0,258.0,Maze Applied Reinforcement Learning Framework.,3.0,12,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,85.0,91.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,242.0,3.0,8.0,,,,,,,,,,,,,,,,,,, +899,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,27.0,21.0,44.0,1.0,5.0,199.0,An automatic ML model optimization tool.,11.0,12,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +900,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1238.0,4.0,10.0,126.0,Experiment tracking for machine and deep learning projects.,3.0,12,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,115.0,125.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,661.0,3.0,,,,,,,,,,,,,,,,,,,, +901,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,9.0,6.0,,2.0,4.0,119.0,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",4.0,4.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +902,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2024-01-03 19:06:45.000000,2024-01-03 19:06:45,209.0,,13.0,12.0,5.0,3.0,2.0,111.0,"Better, faster hyper-parameter optimization.",8.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,54.0,54.0,,,,,,,,3.0,,,,genixpro/hypermax,,,,,,,,,,,,,,,, +903,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,,11.0,8.0,4.0,5.0,14.0,100.0,A spaCy wrapper for DBpedia Spotlight.,5.0,12,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,790.0,790.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +904,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP-archive/contextual-ai,https://github.com/SAP-archive/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,11.0,13.0,26.0,4.0,13.0,85.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,130.0,130.0,,,,,,,,3.0,,,,SAP-archive/contextual-ai,,,,,,,,,,,,,,,, +905,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8.0,7.0,4.0,14.0,18.0,84.0,"An intelligent, flexible grammar of machine learning.",3.0,12,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +906,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2024-02-04 11:31:27.000000,2024-02-04 11:28:34,124.0,2.0,12.0,12.0,17.0,,,42.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,12,False,2024-02-04 11:31:27.000,0.0.13,12.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2024-02-04 11:31:27.000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +907,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,112.0,45.0,13.0,7.0,20.0,948.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +908,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,145.0,39.0,7.0,15.0,14.0,915.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +909,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,21.0,12.0,41.0,7.0,12.0,365.0,A library for distributed ML training with PyTorch.,6.0,11,False,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +910,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,25.0,16.0,51.0,11.0,1.0,134.0,Simple Distributed Deep Learning on TensorFlow.,11.0,11,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +911,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,81.0,17.0,5.0,4.0,12.0,568.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +912,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,,50.0,14.0,13.0,12.0,11.0,497.0,Library for Textless Spoken Language Processing.,8.0,10,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +913,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,9.0,44.0,,2.0,136.0,A toolset for black-box hyperparameter optimisation.,2.0,9,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +914,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,4.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +915,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,25.0,7.0,2.0,2.0,6.0,142.0,Python package to generate stock portfolios.,4.0,8,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,,,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +916,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2022-11-23 19:03:57.000000,2022-11-22 16:44:39,2.0,,6.0,7.0,,1.0,,67.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,27.0,27.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index 6aae5783..4b7d796f 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +2,29 @@ _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ -- Flax (πŸ₯ˆ39 Β· ⭐ 5.5K Β· πŸ“ˆ) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- Theano (πŸ₯ˆ38 Β· ⭐ 9.9K Β· πŸ“ˆ) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 -- Rasterio (πŸ₯ˆ37 Β· ⭐ 2.1K Β· πŸ“ˆ) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- PennyLane (πŸ₯‡36 Β· ⭐ 2.1K Β· πŸ“ˆ) - PennyLane is a cross-platform Python library for.. Apache-2 -- qdrant (πŸ₯ˆ32 Β· ⭐ 18K Β· πŸ“ˆ) - Qdrant - High-performance, massive-scale Vector Database for the.. Apache-2 -- Qlib (πŸ₯ˆ30 Β· ⭐ 14K Β· πŸ“ˆ) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- equinox (πŸ₯‡30 Β· ⭐ 1.8K Β· πŸ“ˆ) - Elegant easy-to-use neural networks + scientific computing.. Apache-2 -- hls4ml (πŸ₯ˆ27 Β· ⭐ 1.1K Β· πŸ“ˆ) - Machine learning on FPGAs using HLS. Apache-2 -- kubric (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ“ˆ) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 -- AdaNet (πŸ₯‰23 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 +- StatsModels (πŸ₯‡45 Β· ⭐ 9.5K Β· πŸ“ˆ) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +- LightGBM (πŸ₯ˆ43 Β· ⭐ 16K Β· πŸ“ˆ) - A fast, distributed, high performance gradient boosting (GBT, GBDT,.. MIT +- TensorFlow Datasets (πŸ₯‡40 Β· ⭐ 4.2K Β· πŸ“ˆ) - TFDS is a collection of datasets ready to use with.. Apache-2 +- Thinc (πŸ₯ˆ36 Β· ⭐ 2.8K Β· πŸ“ˆ) - A refreshing functional take on deep learning, compatible with your.. MIT +- stanza (πŸ₯ˆ35 Β· ⭐ 7K Β· πŸ“ˆ) - Stanford NLP Python library for tokenization, sentence.. Apache-2 +- mlpack (πŸ₯ˆ34 Β· ⭐ 4.8K Β· πŸ“ˆ) - mlpack: a fast, header-only C++ machine learning library. BSD-3 +- StatsForecast (πŸ₯‡34 Β· ⭐ 3.6K Β· πŸ“ˆ) - Lightning fast forecasting with statistical and.. Apache-2 +- USearch (πŸ₯‰30 Β· ⭐ 1.6K Β· πŸ“ˆ) - Fast Open-Source Search & Clustering engine for Vectors &.. Apache-2 +- Talos (πŸ₯ˆ27 Β· ⭐ 1.6K Β· πŸ“ˆ) - Hyperparameter Experiments with TensorFlow and Keras. MIT +- ffcv (πŸ₯‰25 Β· ⭐ 2.7K Β· πŸ“ˆ) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 ## πŸ“‰ Trending Down _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ -- Tensorflow (πŸ₯‡56 Β· ⭐ 180K Β· πŸ“‰) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- pyecharts (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ“‰) - Python Echarts Plotting Library. MIT -- InsightFace (πŸ₯ˆ35 Β· ⭐ 21K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- Ludwig (πŸ₯ˆ34 Β· ⭐ 11K Β· πŸ“‰) - Low-code framework for building custom LLMs, neural networks,.. Apache-2 -- Thinc (πŸ₯ˆ34 Β· ⭐ 2.8K Β· πŸ“‰) - A refreshing functional take on deep learning, compatible with your.. MIT -- TF Addons (πŸ₯ˆ34 Β· ⭐ 1.7K Β· πŸ“‰) - Useful extra functionality for TensorFlow 2.x maintained.. Apache-2 -- igraph (πŸ₯‡34 Β· ⭐ 1.2K Β· πŸ“‰) - Python interface for igraph. ❗️GPL-2.0 -- pgmpy (πŸ₯ˆ32 Β· ⭐ 2.6K Β· πŸ“‰) - Python Library for learning (Structure and Parameter), inference.. MIT -- ReAgent (πŸ₯‰22 Β· ⭐ 3.5K Β· πŸ“‰) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 -- carefree-learn (πŸ₯‰18 Β· ⭐ 400 Β· πŸ“‰) - Deep Learning PyTorch. MIT +- pytorch-lightning (πŸ₯ˆ44 Β· ⭐ 27K Β· πŸ“‰) - Pretrain, finetune and deploy AI models on multiple.. Apache-2 +- DeepSpeed (πŸ₯‡41 Β· ⭐ 33K Β· πŸ“‰) - DeepSpeed is a deep learning optimization library that.. Apache-2 +- dgl (πŸ₯‡38 Β· ⭐ 13K Β· πŸ“‰) - Python package built to ease deep learning on graph, on top of.. Apache-2 +- imbalanced-learn (πŸ₯‡36 Β· ⭐ 6.7K Β· πŸ“‰) - A Python Package to Tackle the Curse of Imbalanced.. MIT +- fairseq (πŸ₯ˆ35 Β· ⭐ 29K Β· πŸ“‰) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT +- igraph (πŸ₯‡33 Β· ⭐ 1.2K Β· πŸ“‰) - Python interface for igraph. ❗️GPL-2.0 +- D-Tale (πŸ₯‰29 Β· ⭐ 4.5K Β· πŸ“‰) - Visualizer for pandas data structures. ❗️LGPL-2.1 +- Neural Network Libraries (πŸ₯‰28 Β· ⭐ 2.7K Β· πŸ“‰) - Neural Network Libraries. Apache-2 +- Alibi (πŸ₯ˆ28 Β· ⭐ 2.3K Β· πŸ“‰) - Algorithms for explaining machine learning models. ❗️Intel +- YouTokenToMe (πŸ₯‰21 Β· ⭐ 940 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT