Jax GitHub Repositories (2026) · Open Source Tools

Deep Learning for humans

Digital Audio Workstation with Python; VST instruments/effects, parameter automation, FAUST, JAX, Warp Markers, and JUCE processors

A retargetable MLIR-based machine learning compiler and runtime toolkit.

A simple, performant, and scalable Jax LLM!

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Library for reading and processing ML training data.

Massively parallel rigidbody physics simulation on accelerator hardware.

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

zea: A Toolbox for Cognitive Ultrasound Imaging

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

A JIT compiler for hybrid quantum programs in PennyLane

Scientific Computational Imaging COde

Pretrained model hub for Keras 3.

Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration with GPU-optimized simulation environments.

S2FFT: Differentiable and accelerated spherical transforms

Open finite element infrastructure for nonlinear computational mechanics.

Universal Python SDK to run AI workloads on Kubernetes