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ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.llm-numbers
Numbers every LLM developer should knowkuberay
A toolkit to run Ray applications on Kubernetesray-llm
RayLLM - LLMs on Raytutorial
llmperf
LLMPerf is a library for validating and benchmarking LLMstune-sklearn
A drop-in replacement for Scikit-Learnβs GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.llmperf-leaderboard
ray-educational-materials
This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.ray_lightning
Pytorch Lightning Distributed Accelerators using Raylangchain-ray
Examples on how to use LangChain and Raydeltacat
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.rl-experiments
Keeping track of RL experimentsxgboost_ray
Distributed XGBoost on Raymobius
Mobius is an AI infrastructure platform for distributed online learning, including online sample processing, training and serving.plasma
A minimal shared memory object store designenhancements
Tracking Ray Enhancement Proposalslightgbm_ray
LightGBM on Rayray_beam_runner
Ray-based Apache Beam runnermlflow-ray-serve
MLFlow Deployment Plugin for Ray Servedistml
Distributed ML Optimizerllms-in-prod-workshop-2023
Deploy and Scale LLM-based applicationsray-legacy
An experimental distributed execution engineray_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.pygloo
Pygloo provides Python bindings for Gloo.contrib-workflow-dag
anyscale-berkeley-ai-hackathon
Ray and Anyscale for UC Berkeley AI Hackathon!credis
ray-acm-workshop-2023
Scalable/Distributed Computer Vision with Rayspark-ray-example
A simple demonstration of embedding Ray in a Spark UDF. For Spark + AI Summit 2020.community
Artifacts intended to support the Ray Developer Community: SIGs, RFC overviews, and governance. We're very glad you're here! β¨llm-application
releaser
scalable-learning
Scaling multi-node multi-GPU workloadsair-reference-arch
serve-movie-rec-demo
raynomics
Experimental genomics algorithms in Raymaze-raylit
Hackathon 2020! Max Archit Zheray-serve-arize-observe
Building Real-Time Inference Pipelines with Ray Servesandbox
Ray repository sandboxanyscale-workshop-nyc-2023
Scalable NLP model fine-tuning and batch inference with Ray and Anyscalekuberay-helm
Helm charts for the KubeRay projectray-saturday-dec-2022
Ray Saturday Dec 2022 editionRFC
Community Documentsray-demos
Collection of demos build with Rayprototype_gpu_buffer
arrow-build
Queue for building arrownumbuf
Serializing primitive Python types in Arrowodsc-west-workshop-2023
scipy-ray-scalable-ml-tutorial-2023
2022_04_13_ray_serve_meetup_demo
Code samples for Ray Serve Meetup on 04/13/2022q4-2021-docs-hackathon
ray-scripts
Experimental scripts for deploying and using Rayraytracer
Polymer WebUI for Raytravis-tracker-v2
rllib-contrib
serve_workloads
qcon-workshop-2023
travis-tracker
Dashboard for Tracking Travis Python Test Result.common
Code that is shared between Ray projectsphoton
A local scheduler and node manager for Rayspmd_grid
Grid-style gang-scheduling and collective communication for Raycheckstyle_java
raylibs
Libraries for Rayissues-to-airtable
ray-docs-zh
Chinese translation of Ray documentation. This may not be update to date.streaming
Streaming processing engine based on ray platform.ray-project.github.io
The Ray project websitetrain-serve-primer
serve_config_examples
llmval-legacy
Ray-Forward
Some resources about Ray Forward Meetupray-summit-2022
Website for Ray Summit 2022Love Open Source and this site? Check out how you can help us