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HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
Example implementation of Alpha Zero' s algotirhm on Jupyter notebook
岩永二郎・石原響太・西村直樹・田中一樹 共著『Pythonではじめる数理最適化－ケーススタディでモデリングのスキルを身につけよう－』（オーム社、2021年）のサポートページです。
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
StarCraft II Client - protocol definitions used to communicate with StarCraft II.
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
Graph Neural Network Library for PyTorch
Rich is a Python library for rich text and beautiful formatting in the terminal.
The Python micro framework for building web applications.
Provides everything needed for high performance data loading and augmentation in pytorch.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
OBSOLETE - Dash v2.11+ has Jupyter support built in!
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Code for the paper "Language Models are Unsupervised Multitask Learners"
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"