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ao

The torchao repository contains api's and workflows for quantization and pruning gpu models.

benchmark

TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.

gptq

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

ideep

Intel® Optimization for Chainer*, a Chainer module providing numpy like API and DNN acceleration using MKL-DNN.

inference

Reference implementations of inference benchmarks

opennmt-py

Open Source Neural Machine Translation in PyTorch

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

tensorflow

An Open Source Machine Learning Framework for Everyone

threadpool

A simple C++11 Thread Pool implementation

threadpool_for_pytorch

torch_script

Regular user script based on PyTorch and IPEX

torchdynamo

A Python-level JIT compiler designed to make unmodified PyTorch programs faster.

training

Reference implementations of MLPerf™ training benchmarks

triton

Development repository for the Triton language and compiler

tutorials

PyTorch tutorials.

vision

Datasets, Transforms and Models specific to Computer Vision