xla

Multi-dimensional arrays (tensors) and numerical definitions for Elixir

#计算机科学#Enabling PyTorch on XLA Devices (e.g. Google TPU)

Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild

#Awesome#JAX - A curated list of resources https://github.com/google/jax

#计算机科学#GoMLX: An Accelerated Machine Learning Framework For Go

#计算机科学#The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as t...

#计算机科学#Elegant and Performant Deep Learning

Felafax is building AI infra for non-NVIDIA GPUs

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

Extending JAX with custom C++ and CUDA code

#计算机科学#Julia on TPUs

ALBERT model Pretraining and Fine Tuning using TF2.0

#计算机科学#Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload

TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA

#计算机科学#S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.

基于tensorflow1.x的预训练模型调用，支持单机多卡、梯度累积，XLA加速，混合精度。可灵活训练、验证、预测。

PyTorch distributed training acceleration framework

Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.

JAX bindings for the NVIDIA cuDecomp library

Official scala pool repository