Learn how to design, develop, deploy and iterate on production-grade ML applications.

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

A game theoretic approach to explain the output of any machine learning model.

The fastai book, published as Jupyter Notebooks

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Best Practices, code samples, and documentation for Computer Vision.

An adversarial example library for constructing attacks, building defenses, and benchmarking both

A course in reinforcement learning in the wild

Pytorch🍊🍉 is delicious, just eat it! 😋😋

Language-Agnostic SEntence Representations

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

Bayesian optimization in PyTorch

A python library for decision tree visualization and model interpretation.

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Python supercharged for the fastai library