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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-Learnโs 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 Rayrayfed
A multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.mobius
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! โจllm-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 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