#184 · Primary category: AI Tool Directories & Curated Lists

awesome-jax

autograd awesome awesome-list deep-learning jax machine-learning neural-network numpy xla

JAX - A curated list of resources https://github.com/google/jax

Project last updated:01/20/26

GitHub Stars

2.2K

Forks

169

Contributors

85

License

Other

Why we included this project

If you work in JAX and keep losing track of which library does what, this curated index is a genuinely useful starting point. It gathers the ecosystem's neural-network frameworks (Flax, Haiku, Equinox), optimization and probabilistic-programming tools, and research projects into one navigable list, so you can quickly find the right building block for a new experiment. The maintainers also separate battle-tested libraries from newer, less-proven ones, which is a practical signal when you are deciding what to build on. Beyond code, the list points to tutorials, papers, videos, and books, making it a reasonable first stop for anyone ramping up on JAX or surveying what the ecosystem offers. It is a reference resource rather than software you deploy, but for discovery and orientation it saves real time.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category