richardliaw

ray

An experimental distributed execution engine

data-samples

gpt-learning

vllm-bench

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

chatgpt-cli

Simple yet effective command line client for chatting with ChatGPT using the official API

dlrm

An implementation of a deep learning recommendation model (DLRM)

FastVideo

FastVideo is a lightweight framework for accelerating large video diffusion models.

gitbook

Documentation synced with GitBook

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.

novasky-ai.github.io

pytorch-tutorials

PyTorch tutorials.

ray-llm

RayLLM - LLMs on Ray

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

test-dagster

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

unify

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

whisper_serve_demo

xgboost_ray

Distributed XGBoost on Ray