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accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

blobfile

Read Google Cloud Storage, Azure Blobs, and local paths with the same interface. Clone of tensorflow.io.gfile

chef-repo

A blank Chef repository - use as a base to build your own

colossalai

Making large AI models cheaper, faster and more accessible

cs173-python

Python framework code for cs173/fall 2012

csci-2951-hci

deeplearningexamples

Deep Learning Examples

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

deepspeed-kdd20

deepspeed-mii

MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

deepspeed-test-worker

deepspeedexamples

Example models using DeepSpeed

ds-docker

dse

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastmoe

A fast MoE impl for PyTorch

ghpages-test

Playing around with GitHub pages.

hadoop-common

Mirror of Apache Hadoop common

igb-5.2.9.4

innereye-deeplearning

Medical Imaging Deep Learning library to train and deploy models on Azure Machine Learning

jeffra.github.io

megatron-lm

Ongoing research training transformer language models at scale, including: BERT & GPT-2

models

Models and examples built with TensorFlow

netty

Netty project - an event-driven asynchronous network application framework

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

paper-movies

Poorly written scripts to animate our papers' revision processes

pytest

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cifar-models

3.41% and 17.11% error on CIFAR-10 and CIFAR-100