ray

14 Projekte teilen dieses GitHub-Topic

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Made-With-ML

Learn how to develop, deploy and iterate on production-grade ML applications.

★ 48.9k

ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for…

★ 43.4k

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

★ 14.7k

Daft

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured…

★ 5.7k

csghub

CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both…

★ 4.2k

mlops-course

Learn how to design, develop, deploy and iterate on production-grade ML applications.

★ 3.4k

mars

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas,…

★ 2.7k

kuberay

A toolkit to run Ray applications on Kubernetes

★ 2.6k

llm-applications

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

★ 1.9k

data-prep-kit

Open source project for data preparation for GenAI applications

★ 952

malib

A parallel framework for population-based multi-agent reinforcement learning.

★ 554

PokerRL

Framework for Multi-Agent Deep Reinforcement Learning in Poker

★ 534

mega-data-factory

🏭 Mega Scale Multimodal DataPipeline for SOTA Foundation Models

★ 370

syftr

syftr is an agent optimizer that helps you find the best agentic workflows for your budget.

★ 344

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