This repository aggregates resources for JAX, Google’s machine learning framework that combines automatic differentiation with XLA compilation. The list includes neural network libraries like Flax, Haiku, and Objax; pre-built models and projects; tutorials; research papers; and video resources. It serves as a community-maintained reference for researchers and developers working with JAX for deep learning.