The fastai book, published as Jupyter Notebooks

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

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.