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ray-project

ray-project

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Home Page:https://docs.ray.io

Twitter:@raydistributed

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ray-project's repositories

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.

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llm-numbers

Numbers every LLM developer should know

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llm-applications

A comprehensive guide to building RAG-based LLM applications for production.

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ray-llm

RayLLM - LLMs on Ray

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kuberay

A toolkit to run Ray applications on Kubernetes

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tune-sklearn

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

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llmperf

LLMPerf is a library for validating and benchmarking LLMs

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llmperf-leaderboard

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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.

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ray_lightning

Pytorch Lightning Distributed Accelerators using Ray

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xgboost_ray

Distributed XGBoost on Ray

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deltacat

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.

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rayfed

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

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mobius

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

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lightgbm_ray

LightGBM on Ray

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enhancements

Tracking Ray Enhancement Proposals

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kuberay-helm

Helm charts for the KubeRay project

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pygloo

Pygloo provides Python bindings for Gloo.

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docu-mentor

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ray-open-ports-checker

Tool to quickly check and see if your Ray cluster is exposed to untrusted clients

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rayci

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serve_workloads

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travis-tracker-v2

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llmval-legacy

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dind-buildkite-plugin

A Buildkite Plugin to enable Docker-in-Docker

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images

Host images

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ray-data-user-testing

The repo to study Ray Data CUJ

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ray-train-user-testing

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test_dag

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test_runtime_env

Used for testing.

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