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

Moving to vllm-project/vllm-jax. TPU inference for vLLM, with unified JAX and PyTorch support.

Algorithms for Privacy-Preserving Machine Learning in JAX

The versatile ocean simulator, in pure Python, powered by JAX.

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Flax is a neural network library for JAX that is designed for flexibility.

JAX-based neural network library

Optax is a gradient processing and optimization library for JAX.

RL Environments in JAX 🌍

Computational Fluid Dynamics in JAX

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

PIX is an image processing library in JAX, for JAX.

Scenic: A Jax Library for Computer Vision Research and Beyond

Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.

3d without friction (Torch, TF, Jax, Numpy)

A Python package for probabilistic state space modeling with JAX

jax-triton contains integrations between JAX and OpenAI Triton

🕹️ A diverse suite of scalable reinforcement learning environments in JAX

JAX-Toolbox

A simple, performant, and scalable Jax LLM!

Matrix-free linear algebra in JAX.

Multi-Agent Reinforcement Learning with JAX

Custom Bindings for Enzyme Automatic Differentiation Tool and Interfacing with JAX.

Accelerated minigrid environments with JAX

Differentiable Finite Element Method with JAX

Clean single-file implementation of offline RL algorithms in JAX

TORAX: Tokamak transport simulation in JAX

A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax)