The ray-project organization on GitHub showcases a wide range of repositories primarily focused on AI and machine learning. Notable projects include Ray, an AI compute engine, and various resources for LLM development, utilizing languages such as Python, Jupyter Notebook, and Go. Their public repositories aim to accelerate ML workloads and provide tools for developers.
Top languages
Public repositories
ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
llm-numbers
Numbers every LLM developer should know
kuberay
A toolkit to run Ray applications on Kubernetes
llm-applications
A comprehensive guide to building RAG-based LLM applications for production.
ray-llm
RayLLM - LLMs on Ray (Archived). Read README for more info.
llmperf
LLMPerf is a library for validating and benchmarking LLMs
tutorial
No description provided for this repository.
llmperf-leaderboard
No description provided for this repository.
tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
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.
raydp
RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.
deltacat
A portable Multimodal Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to your ML and analytics workloads.
langchain-ray
Examples on how to use LangChain and Ray
ray_lightning
Pytorch Lightning Distributed Accelerators using Ray
rl-experiments
Keeping track of RL experiments
xgboost_ray
Distributed XGBoost on Ray
mobius
Mobius is an AI infrastructure platform for distributed online learning, including online sample processing, training and serving.
rayfed
A multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.
enhancements
Tracking Ray Enhancement Proposals
kuberay-helm
Helm charts for the KubeRay project
plasma
A minimal shared memory object store design
lightgbm_ray
LightGBM on Ray
mlflow-ray-serve
MLFlow Deployment Plugin for Ray Serve
ray_beam_runner
Ray-based Apache Beam runner
distml
Distributed ML Optimizer
Ray-Forward
Some resources about Ray Forward Meetup
multimodal-training
No description provided for this repository.
ray-legacy
An experimental distributed execution engine
serve_config_examples
No description provided for this repository.
contrib-workflow-dag
No description provided for this repository.
ray-serve-arize-observe
Building Real-Time Inference Pipelines with Ray Serve
docu-mentor
No description provided for this repository.
spark-ray-example
A simple demonstration of embedding Ray in a Spark UDF. For Spark + AI Summit 2020.
credis
No description provided for this repository.
rayci
No description provided for this repository.
community
Artifacts intended to support the Ray Developer Community: SIGs, RFC overviews, and governance. We're very glad you're here! ✨
sandbox
Ray repository sandbox
anyscale-workshop-nyc-2023
Scalable NLP model fine-tuning and batch inference with Ray and Anyscale
air-reference-arch
No description provided for this repository.
ray-open-ports-checker
Tool to quickly check and see if your Ray cluster is exposed to untrusted clients
odsc-west-workshop-2023
No description provided for this repository.
prototype_gpu_buffer
No description provided for this repository.
maze-raylit
Hackathon 2020! Max Archit Zhe
serve-movie-rec-demo
No description provided for this repository.
scalable-learning
Scaling multi-node multi-GPU workloads
raynomics
Experimental genomics algorithms in Ray
RFC
Community Documents
sumo-web3d
Web-based 3D visualization of SUMO microsimulations using TraCI and three.js.
arrow-build
Queue for building arrow
distributed-zkml
Distributed Proofs with ZMKL and Ray
qcon-workshop-2023
No description provided for this repository.
2022_04_13_ray_serve_meetup_demo
Code samples for Ray Serve Meetup on 04/13/2022
numbuf
Serializing primitive Python types in Arrow
serve_workloads
No description provided for this repository.
llmval-legacy
No description provided for this repository.
arrow-plasma-object-store
Plasma Object Store code for proposed import to Apache Arrow
ray-scripts
Experimental scripts for deploying and using Ray
raytracer
Polymer WebUI for Ray
webdis
A Redis HTTP interface with JSON output
ray-haproxy
HAProxy for bundling with Ray
issues-to-airtable
No description provided for this repository.
oneflow
No description provided for this repository.
train-serve-primer
No description provided for this repository.
ray-runtime-env-plugins
A set of runtime environment plugins which can be used by the public.
ray-summit-2022
Website for Ray Summit 2022
spmd_grid
Grid-style gang-scheduling and collective communication for Ray
streaming
Streaming processing engine based on ray platform.
travis-tracker
Dashboard for Tracking Travis Python Test Result.
common
Code that is shared between Ray projects
checkstyle_java
No description provided for this repository.
ray-docs-zh
Chinese translation of Ray documentation. This may not be update to date.
catapult
Catapult
raylibs
Libraries for Ray
enablement-content
No description provided for this repository.
haproxy-release
No description provided for this repository.
raydepsets
raydepsets build and release repo
pandas
Pandas object mirror
wrk
Modern HTTP benchmarking tool
ray-data-user-testing
The repo to study Ray Data CUJ
ray-train-user-testing
No description provided for this repository.
mlperf-training
Reference implementations of MLPerf™ training benchmarks
rate-the-docs
Feedback widget for Read the Docs documentation
air-sample-data
A repository hosting data for air examples and notebooks
test_deploy_group
No description provided for this repository.
test_packages
This repo maintains the packages that are provided for tests.
rules_docker
Rules for building and handling Docker images with Bazel
windows-docker-buildkite-plugin
No description provided for this repository.
macos-sandbox-buildkite-plugin
No description provided for this repository.
prometheus-cpp
Prometheus Client Library for Modern C++
pickle5-build
Build unofficial pickle5 wheels
project-data
Files for Ray project examples
crossbow
Arrow build queue
qreader
RSS feed reader app build on Vue.js, Vuex, Element UI and PHP as backend.
asv
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
redis-replication
Replicating redis
bredis
Experiments with sharding redis
benchmarks
No description provided for this repository.
redis-ms
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes
python
Pre-compiled python libraries with includes
photon
A local scheduler and node manager for Ray
Frequently asked questions
What does ray-project build on GitHub?
Ray-project develops several widely used projects that focus on AI compute engines and machine learning tools. Key repositories include Ray for distributed computing and LLM-related libraries that support various aspects of AI development.
Which programming languages does ray-project use?
Ray-project primarily uses Python, along with Jupyter Notebook, Go, C, Shell, HTML, and C++. This diverse set of languages supports the development of AI applications and tools across different platforms.
Are ray-project's repositories public?
Yes, all repositories under the ray-project organization are public. This transparency allows developers and researchers to access, contribute to, and utilize the resources for AI and machine learning applications.
Is this exposure intended?
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