richardliaw

ray

An experimental distributed execution engine

airflow-provider-ray-1

Ray provider for Apache Airflow

beam

Apache Beam is a unified programming model for Batch and Streaming

blog

Public repo for HF blog posts

course-gitbook

Full Stack Deep Learning Online Course

dlrm

An implementation of a deep learning recommendation model (DLRM)

gitbook

Documentation synced with GitBook

github-statistics

A react static app for displaying github repo statistiscs like Star History, Fork History and more.

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

jupyter-book

Build interactive, publication-quality documents from Jupyter Notebooks

learning_ray

Code for the upcoming book "Learning Ray" with O'Reilly

ludwig

Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

pytorch-tutorials

PyTorch tutorials.

ray-llm

RayLLM - LLMs on Ray

ray-spacy

Temp

ray_lightning_accelerators

Pytorch Lightning Distributed Accelerators using Ray

ray_shuffling_data_loader

A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed training of machine learning models.

releaser

sp21-proj6

Spring 2021 Project 6 Skeleton Code

spaCy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

test-dagster

thinc

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

travis-tracker-v2

tune-sklearn

An experimental scikit-learn API on Tune

tutorial

unify

whisper_serve_demo

xgboost_ray

Distributed XGBoost on Ray