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: machine-learning-systems

英文目录

🎨 Local-first, open-source Claude Design alternative. 🖥️ Native desktop app. ⚡ 259+ Skills · ✨ 142+ Design Systems 🖼️ Web · desktop · mobile prototypes · slides · images · videos · HyperFrames 📦 Sandboxed preview · HTML/PDF/PPTX/MP4 export 🤖 Claude Code / OpenClaw / Codex / Cursor / OpenCode / Qwen / Copilot / Hermes / Kimi & 17+ CLIs.

88K
Stars
88/100
信任
分类: agent-skills审计

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

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

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

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

30K
Stars
87/100
信任
分类: rag-knowledge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

GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.

21K
Stars
84/100
信任
分类: data-analysis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

Visualizer for neural network, deep learning and machine learning models

33K
Stars
81/100
信任
分类: ml-automation审计

SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effortless horizontal scaling.

33K
Stars
86/100
信任
分类: devops审计