From PyTorch to JAX: towards neural net frameworks that purify stateful code by Sabrina J. Mielke

Get started with JAX by Aleksa Gordić

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

Extending JAX with custom C++ and CUDA code by Dan Foreman-Mackey

Extending JAX with custom C++ and CUDA code

Ensemble networks by Mat Kelcey

Ensemble nets are a method of representing an ensemble of models as one single logical model

Getting started with JAX (MLPs, CNNs & RNNs) by Robert Lange

Neural network building blocks from scratch with the basic JAX operators