Discover ray-project/pygloo Open Source project by @ray-project

Numbers every LLM developer should know

30,993

llm-numbers

ray-llm

kuberay

A toolkit to run Ray applications on Kubernetes

861

tutorial

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

772

tune-sklearn

LLMPerf is a library for validating and benchmarking LLMs

464

llmperf

This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.

366

llmperf-leaderboard

358

ray-educational-materials

Pytorch Lightning Distributed Accelerators using Ray

272

ray_lightning

Examples on how to use LangChain and Ray

204

langchain-ray

Keeping track of RL experiments

202

rl-experiments

148

xgboost_ray

Distributed XGBoost on Ray

A portable Pythonic Data Catalog API powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to your big data workloads.

132

deltacat

A multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.

rayfed

Mobius is an AI infrastructure platform for distributed online learning, including online sample processing, training and serving.

mobius

Java

plasma

A minimal shared memory object store design

enhancements

Tracking Ray Enhancement Proposals

lightgbm_ray

LightGBM on Ray

Ray-based Apache Beam runner

ray_beam_runner

MLFlow Deployment Plugin for Ray Serve

mlflow-ray-serve

distml

Distributed ML Optimizer

Deploy and Scale LLM-based applications

llms-in-prod-workshop-2023

An experimental distributed execution engine

ray-legacy

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.

ray_shuffling_data_loader

contrib-workflow-dag

Ray and Anyscale for UC Berkeley AI Hackathon!

anyscale-berkeley-ai-hackathon

Scalable/Distributed Computer Vision with Ray

credis

C++

ray-acm-workshop-2023

A simple demonstration of embedding Ray in a Spark UDF. For Spark + AI Summit 2020.

spark-ray-example

Artifacts intended to support the Ray Developer Community: SIGs, RFC overviews, and governance. We're very glad you're here! ✨

community

llm-application

releaser

Scaling multi-node multi-GPU workloads

scalable-learning

raynomics

Experimental genomics algorithms in Ray

air-reference-arch

serve-movie-rec-demo

Hackathon 2020! Max Archit Zhe

maze-raylit

Building Real-Time Inference Pipelines with Ray Serve

ray-serve-arize-observe

Scalable NLP model fine-tuning and batch inference with Ray and Anyscale

anyscale-workshop-nyc-2023

Helm charts for the KubeRay project

kuberay-helm

Mustache

ray-saturday-dec-2022

Ray Saturday Dec 2022 edition

RFC

Community Documents

sandbox

Ray repository sandbox

Collection of demos build with Ray

ray-demos

prototype_gpu_buffer

Serializing primitive Python types in Arrow

arrow-build

Queue for building arrow

numbuf

C++

odsc-west-workshop-2023

Code samples for Ray Serve Meetup on 04/13/2022

2022_04_13_ray_serve_meetup_demo

q4-2021-docs-hackathon

Experimental scripts for deploying and using Ray

ray-scripts

Shell

raytracer

Polymer WebUI for Ray

travis-tracker-v2

Dashboard for Tracking Travis Python Test Result.

scipy-ray-scalable-ml-tutorial-2023

rllib-contrib

serve_workloads

qcon-workshop-2023

travis-tracker

TypeScript

common

Code that is shared between Ray projects

photon

A local scheduler and node manager for Ray

spmd_grid

Grid-style gang-scheduling and collective communication for Ray

checkstyle_java

raylibs

issues-to-airtable

ray-docs-zh

Chinese translation of Ray documentation. This may not be update to date.

ray-project.github.io

The Ray project website

Streaming processing engine based on ray platform.

streaming

train-serve-primer

serve_config_examples

Some resources about Ray Forward Meetup

Ray-Forward

ray-summit-2022

Website for Ray Summit 2022