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Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
A guidance language for controlling large language models.
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
The official Python client library for the Kite Connect trading APIs
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Call Center Analytics with Azure Text Analytics APIs
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our v…
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
A powerful and modular toolkit for record linkage and duplicate detection in Python
📛 Fuzzy Name Matching with Machine Learning
Google's officially supported Node.js client library for accessing Google APIs. Support for authorization and authentication with OAuth 2.0, API Keys and JWT (Service Tokens) is included.
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
creating a dataset for person name disambiguation using combination of sources like wikipedia, DBLP authors and PPDB.
Siamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.
This repository is for active development of the Azure SDK for .NET. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/dotnet/azure/ or our ver…
Start your journey into social media analysis of politicans by using Python (Tutorial)
🪐 End-to-end NLP workflows from prototype to production
In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras
Information extraction pipeline containing coreference resolution, named entity linking, and relationship extraction
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-vision
Approaching (Almost) Any Machine Learning Problem
Exercise notebooks for Machine Learning modules on Microsoft Learn
Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.