A Multivariate Gaussian Bayes classifier written using JAX

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

Scala (XLA) Stratum protocol proxy with panthera (not official)

JAX Custom Operations with C++ and CUDA (using Pybind11)

High-performance TensorFlow library for quantitative finance.

JAX Foreign Function Interface experiments

Add ppc64le support back to BoringSSL for use with XLA

Event-based runtime for gang-scheduling multi-GPU operations across sharded arrays

An XMRig fork with support for latest XLA PoW algorithms

Workshop given in graduate-level thin film coatings course in ITU

Woboq codebrowser for Tensorflow v1.8 with XLA Enabled

Dataloading for JAX

Experimentation using the xla compiler from rust

Deep learning solution for Cassava Leaf Disease Classification, a Kaggle's Research Code Competition using Tensorflow.

Example of using Elixir/Nx with CUDA backend in Livebook in Devenv environment

Modern Graph TensorFlow implementation of Super-Resolution GAN

deep learning inference perf analysis

As the quality of large language models increases, so do our expectations of what they can do. Since the release of OpenAI's GPT-2, text generation capabilities have received attention. And for good reason - these models can be used for summarization, translation, and even real-time learning in some language tasks.

XLA Launcher is a high-performance, lightweight C++ library designed to provide a simple interface for loading and executing computation graphs represented in the StableHLO format.