Need help with awesome-jax?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

n2cholas
427 Stars 29 Forks Creative Commons Zero v1.0 Universal 119 Commits 1 Opened issues

Description

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

Services available

!
?

Need anything else?

Contributors list

Awesome JAX AwesomeJAX Logo

JAX brings automatic differentiation and the XLA compiler together through a NumPy-like API for high performance machine learning research on accelerators like GPUs and TPUs. <!--lint enable double-link-->

This is a curated list of awesome JAX libraries, projects, and other resources. Contributions are welcome!

Contents

Libraries

  • Neural Network Libraries
    • Flax - Centered on flexibility and clarity.
    • Haiku - Focused on simplicity, created by the authors of Sonnet at DeepMind.
    • Objax - Has an object oriented design similar to PyTorch.
    • Elegy - A framework-agnostic Trainer interface for the Jax ecosystem. Supports Flax, Haiku, and Optax.
    • Trax - "Batteries included" deep learning library focused on providing solutions for common workloads.
    • Jraph - Lightweight graph neural network library.
    • Neural Tangents - High-level API for specifying neural networks of both finite and infinite width.
    • HuggingFace - Ecosystem of pretrained Transformers for a wide range of natural language tasks (Flax).
    • Equinox - Callable PyTrees and filtered JIT/grad transformations => neural networks in JAX.
  • NumPyro - Probabilistic programming based on the Pyro library.
  • Chex - Utilities to write and test reliable JAX code.
  • Optax - Gradient processing and optimization library.
  • RLax - Library for implementing reinforcement learning agents.
  • JAX, M.D. - Accelerated, differential molecular dynamics.
  • Coax - Turn RL papers into code, the easy way.
  • SymJAX - Symbolic CPU/GPU/TPU programming.
  • mcx - Express & compile probabilistic programs for performant inference.
  • Distrax - Reimplementation of TensorFlow Probability, containing probability distributions and bijectors.
  • cvxpylayers - Construct differentiable convex optimization layers.
  • TensorLy - Tensor learning made simple.
  • NetKet - Machine Learning toolbox for Quantum Physics.

New Libraries

This section contains libraries that are well-made and useful, but have not necessarily been battle-tested by a large userbase yet.

  • Neural Network Libraries
    • FedJAX - Federated learning in JAX, built on Optax and Haiku.
    • Equivariant MLP - Construct equivariant neural network layers.
    • jax-resnet - Implementations and checkpoints for ResNet variants in Flax.
  • jax-unirep - Library implementing the UniRep model for protein machine learning applications.
  • jax-flows - Normalizing flows in JAX.
  • sklearn-jax-kernels -
    scikit-learn
    kernel matrices using JAX.
  • jax-cosmo - Differentiable cosmology library.
  • efax - Exponential Families in JAX.
  • mpi4jax - Combine MPI operations with your Jax code on CPUs and GPUs.
  • imax - Image augmentations and transformations.
  • FlaxVision - Flax version of TorchVision.
  • Oryx - Probabilistic programming language based on program transformations.
  • Optimal Transport Tools - Toolbox that bundles utilities to solve optimal transport problems.
  • delta PV - A photovoltaic simulator with automatic differentation.
  • jaxlie - Lie theory library for rigid body transformations and optimization.
  • BRAX - Differentiable physics engine to simulate environments along with learning algorithms to train agents for these environments.
  • flaxmodels - Pretrained models for Jax/Flax.
  • CR.Sparse - XLA accelerated algorithms for sparse representations and compressive sensing.
  • exojax - Automatic differentiable spectrum modeling of exoplanets/brown dwarfs compatible to JAX.
  • JAXopt - Hardware accelerated (GPU/TPU), batchable and differentiable optimizers in JAX.
  • PIX - PIX is an image processing library in JAX, for JAX.
  • bayex - Bayesian Optimization powered by JAX.

Models and Projects

JAX

Flax

Haiku

Trax

  • Reformer - Implementation of the Reformer (efficient transformer) architecture.

Videos

Papers

This section contains papers focused on JAX (e.g. JAX-based library whitepapers, research on JAX, etc). Papers implemented in JAX are listed in the Models/Projects section.

Tutorials and Blog Posts

Community

Contributing

Contributions welcome! Read the contribution guidelines first.

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.