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: multimodal-learning

英文目录

Run multimodal agents that operate desktop interfaces

37K
Stars
77/100
信任
分类: automation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

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

Visualizer for neural network, deep learning and machine learning models

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

The fastai deep learning library

28K
Stars
81/100
信任
分类: ml-automation审计

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

26K
Stars
87/100
信任
分类: data审计

A game theoretic approach to explain the output of any machine learning model.

26K
Stars
82/100
信任
分类: ml-automation审计