jax-ml

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jax-triton contains integrations between JAX and OpenAI Triton

High-performance large-scale embedding acceleration for JAX on Google TPU SparseCores.

Oryx is a library for probabilistic programming and deep learning built on top of Jax.

Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs

Minimal yet performant LLM examples in pure JAX

A stand-alone implementation of several NumPy dtype extensions used in machine learning.

Minimal, lightweight JAX implementations of popular models.

State of the art inference for your bayesian models.