Ecosyste.ms: Awesome

https://github.com/ray-project/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.

automl data-science deep-learning deployment distributed hyperparameter-optimization hyperparameter-search java llm-serving machine-learning model-selection optimization parallel python pytorch ray reinforcement-learning rllib serving tensorflow

Last synced: 28 Oct 2024

https://github.com/ray-project/llm-numbers

Numbers every LLM developer should know

Last synced: 27 Oct 2024

https://github.com/ray-project/llm-applications

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

anyscale fine-tuning llama2 llms machine-learning openai ray serving

Last synced: 10 Oct 2024

https://github.com/ray-project/ray-llm

RayLLM - LLMs on Ray

distributed-systems large-language-models llm llm-inference llm-serving llmops ray serving transformers

Last synced: 15 Oct 2024

https://github.com/ray-project/aviary

RayLLM - LLMs on Ray

distributed-systems large-language-models llm llm-inference llm-serving llmops ray serving transformers

Last synced: 29 Aug 2024

https://github.com/ray-project/kuberay

A toolkit to run Ray applications on Kubernetes

apache deep-learning kubernetes machine-learning ray

Last synced: 14 Oct 2024

https://github.com/ray-project/tune-sklearn

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

automl bayesian-optimization gridsearchcv hyperparameter-tuning scikit-learn

Last synced: 27 Sep 2024

https://github.com/ray-project/llmperf

LLMPerf is a library for validating and benchmarking LLMs

Last synced: 02 Aug 2024

https://github.com/ray-project/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.

deep-learning distributed-machine-learning generative-ai llm llm-inference llm-serving ray ray-data ray-distributed ray-serve ray-train ray-tune

Last synced: 03 Aug 2024

https://github.com/ray-project/ray_lightning

Pytorch Lightning Distributed Accelerators using Ray

Last synced: 03 Aug 2024

https://github.com/ray-project/langchain-ray

Examples on how to use LangChain and Ray

fine-tuning-t5 generative-ai langchain langchain-python llm llms ray ray-air ray-distributed

Last synced: 03 Aug 2024

https://github.com/ray-project/rl-experiments

Keeping track of RL experiments

Last synced: 02 Nov 2024

https://github.com/ray-project/xgboost_ray

Distributed XGBoost on Ray

dask data-science kaggle machine-learning modin xgboost

Last synced: 03 Aug 2024

https://github.com/ray-project/lightgbm_ray

LightGBM on Ray

Last synced: 30 Oct 2024

https://github.com/ray-project/ray_beam_runner

Ray-based Apache Beam runner

Last synced: 03 Aug 2024