Xla Python Packages

torch-xla

Enabling PyTorch on XLA Devices (e.g. Google TPU)

dense-evolution

A micro-optimized, high-performance NISQ Statevector Quantum Simulator using JAX XLA Kernel Fusion.

jaxdecomp

JAX reimplementation and bindings for the NVIDIA cuDecomp library

mpi4jax

Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:

datarax

A Differentiable Data Pipeline Framework for JAX

maddening

Modular Automatic Differentiation and Data-Enhanced Neural-network INteracting Graph (MADDENING). A pure JAX end-to-end autodifferentiable graph based framework for multiphysics simulation.

revlib

Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload

tmmax

A fast transfer matrix method written in jax for modelling optical multilayer thin films

felafax

Felafax is building AI infra for non-NVIDIA GPUs

tf-q-finance

High-performance TensorFlow library for quantitative finance.

katmer

katmer is a powerful library for optimizing the design of optical thin films using automatic differentiation via JAX and Equinox, enabling efficient and accurate inverse design solutions.