#jax

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

Efficiently computes derivatives of NumPy code.

Library for reading and processing ML training data.

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

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

Collection of eclectic utils for python.

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

Magenta RealTime 2: An Open-Weights Live Music Model

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torchax is a PyTorch frontend for JAX. It gives JAX the ability to author JAX programs using familiar PyTorch syntax. It also provides JAX-Pytorch interoperability, meaning, one can mix JAX & Pytorch syntax together when authoring ML programs, and run it in every hardware JAX can run.

Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/