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: scientific-machine-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

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.

33K
Stars
88/100
信任
分类: data-analysis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

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

A comprehensive collection of ready-to-use scientific and research skills for AI agents.

31K
Stars
78/100
信任
分类: utility审计

Visualizer for neural network, deep learning and machine learning models

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

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

28K
Stars
87/100
信任
分类: ml-automation审计