jeffra

deepspeed-kdd20

DSE

DeepSpeed

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

fastmoe

A fast MoE impl for PyTorch

InnerEye-DeepLearning

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

Megatron-LM

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

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

se3-transformer-public

code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503

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

ColossalAI

Making large AI models cheaper, faster and more accessible

DeepLearningExamples

Deep Learning Examples

DeepSpeed-MII

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

deepspeed-test-worker

DeepSpeedExamples

Example models using DeepSpeed

ds-docker

fairseq

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

ghpages-test

Playing around with GitHub pages.

jeffra.github.io

onnxruntime

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

pytest

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

pytorch-cifar-models

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

QANet-Pytorch

QANet based Pytorch for SQuAD 1.0

sandbox

temp1234

test-actions

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

triton

Development repository for the Triton language and compiler

website

Source for https://fullstackdeeplearning.com