Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: learning-resources

Direktori bahasa Inggris

An Open Source Machine Learning Framework for Everyone

196K
Stars
81/100
Kepercayaan
Kategori: ml-automationAudit

๐Ÿค— 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
Kepercayaan
Kategori: ml-automationAudit

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

87K
Stars
82/100
Kepercayaan
Kategori: ml-automationAudit

scikit-learn: machine learning in Python

66K
Stars
82/100
Kepercayaan
Kategori: data-analysisAudit

Deep Learning for humans

64K
Stars
82/100
Kepercayaan
Kategori: ml-automationAudit

A curated list of resources and tools for enhancing Claude AI workflows.

66K
Stars
75/100
Kepercayaan
Kategori: utilityAudit

Build and share delightful machine learning apps, all in Python. ๐ŸŒŸ Star to support our work!

43K
Stars
87/100
Kepercayaan
Kategori: data-analysisAudit

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

43K
Stars
87/100
Kepercayaan
Kategori: ml-automationAudit

A comprehensive toolkit for enhancing GitHub Copilot with specialized agents, instructions, and workflows.

37K
Stars
78/100
Kepercayaan
Kategori: developmentAudit

Visualizer for neural network, deep learning and machine learning models

33K
Stars
81/100
Kepercayaan
Kategori: ml-automationAudit

The fastai deep learning library

28K
Stars
81/100
Kepercayaan
Kategori: ml-automationAudit

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.

26K
Stars
85/100
Kepercayaan
Kategori: agent-frameworksAudit