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Getting Started

  • JAX Quickstart
  • How to Think in JAX
  • 🔪 JAX - The Sharp Bits 🔪
  • Tutorial: JAX 101

Reference Documentation

  • JAX Frequently Asked Questions (FAQ)
  • Asynchronous dispatch
  • Understanding Jaxprs
  • Convolutions in JAX
  • Pytrees
  • Type promotion semantics
  • JAX Errors
  • JAX Glossary of Terms
  • Change log

Advanced JAX Tutorials

  • The Autodiff Cookbook
  • Autobatching log-densities example
  • Training a Simple Neural Network, with tensorflow/datasets Data Loading
  • Custom derivative rules for JAX-transformable Python functions
  • How JAX primitives work
  • Writing custom Jaxpr interpreters in JAX
  • Training a Simple Neural Network, with PyTorch Data Loading
  • XLA in Python
  • MAML Tutorial with JAX
  • Generative Modeling by Estimating Gradients of Data Distribution in JAX
  • Named axes and easy-to-revise parallelism
  • Using JAX in multi-host and multi-process environments

Notes

  • Python and NumPy version support policy
  • Concurrency
  • GPU memory allocation
  • Profiling JAX programs
  • Device Memory Profiling
  • Rank promotion warning
  • custom_vjp and nondiff_argnums update guide

Developer documentation

  • Contributing to JAX
  • Building from source
  • Running the tests
  • Type checking
  • Update documentation
  • Internal APIs
  • Autodidax: JAX core from scratch

API documentation

  • Public API: jax package
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