ToolAI.io · Chaîne GitHub

Projets AI open source sur GitHub

Un index factuel des projets de développement LLM, agent, MCP, RAG et AI, avec pour chaque entrée la licence, la configuration, le téléchargement, des captures d’écran et les ressources associées.

Données du dépôt public

Index du projet

305 Projets
Inférence, déploiement et exécution

NVIDIA Container Toolkit: NVIDIA GPU access for containers

NVIDIA/nvidia-container-toolkit

Configures NVIDIA GPU access for container runtimes such as Docker, supporting containerized inference, training and CUDA workloads.

★ 4,6K⑂ 589Go
Apache-2.0Q84
AI multimodale

HunyuanImage-3.0

Tencent-Hunyuan/HunyuanImage-3.0

HunyuanImage-3.0: A Powerful Native Multimodal Model for Image Generation

★ 3,2K⑂ 175Python
NOASSERTIONQ84
Évaluation, observabilité et sécurité

OpenLIT

openlit/openlit

OpenTelemetry-native observability and evaluation tools for LLM applications and AI infrastructure.

★ 2,8K⑂ 423Python
Apache-2.0Q84
Agents et multi-agents

TypeSafe Agent Skills

typesafe-ai/skills

Official agent skills for designing applications around TypeSafe typed decisions. Development guidance complements the runtime SDKs and API.

★ 2K⑂ 109—
MITQ84
Programmation AI et outils pour développeurs

TypeSafe JavaScript SDK

typesafe-ai/typesafe-sdk-js

Integrate TypeSafe decisions into JavaScript and TypeScript services. Answer types are inferred from questions; the package supports ESM and CommonJS.

★ 231⑂ 25TypeScript
MITQ84
Évaluation, observabilité et sécurité

open_spiel

google-deepmind/open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

★ 5,4K⑂ 1,2KC++
Apache-2.0Q83
LLM et modèles de fondation

MiniMax-M2

MiniMax-AI/MiniMax-M2

MiniMax-M2, a model built for Max coding & agentic workflows.

★ 2,6K⑂ 215—
NOASSERTIONQ83
Robotique et Edge AI

edgeai-for-beginners

microsoft/edgeai-for-beginners

This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.

★ 1,6K⑂ 362Jupyter Notebook
MITQ83
Inférence, déploiement et exécution

checkpoint-engine

MoonshotAI/checkpoint-engine

Checkpoint-engine is a simple middleware to update model weights in LLM inference engines

★ 982⑂ 100Python
MITQ83

Page 24 / 26 · 305 projets

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