技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: multi-agent-reinforcement-learning

英文目录

An Open Source Machine Learning Framework for Everyone

196K
Stars
81/100
信任
分类: ml-automation审计

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

162K
Stars
87/100
信任
分类: ml-automation审计

TradingAgents: Multi-Agents LLM Financial Trading Framework

88K
Stars
80/100
信任
分类: finance审计

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

87K
Stars
82/100
信任
分类: ml-automation审计

Fast and extensible multi-platform HTTP/1-2-3 web server with automatic HTTPS

73K
Stars
80/100
信任
分类: legal-compliance审计

Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard.

26K
Stars
86/100
信任
分类: agent-skills审计

scikit-learn: machine learning in Python

66K
Stars
82/100
信任
分类: data-analysis审计

Deep Learning for humans

64K
Stars
82/100
信任
分类: ml-automation审计

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

43K
Stars
87/100
信任
分类: data-analysis审计

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

43K
Stars
87/100
信任
分类: ml-automation审计

Use multi-agent collaboration for software development

34K
Stars
77/100
信任
分类: development审计

Teams-first Multi-agent orchestration for Claude Code

37K
Stars
82/100
信任
分类: agent-frameworks审计