Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: datasets

Englisches Verzeichnis

🎁 7,400,000+ Unsplash images made available for research and machine learning

2.7K
Stars
74/100
Trust
Kategorie: rag-knowledgeAudit

source{d} datasets ("big code") for source code analysis and machine learning on source code

348
Stars
59/100
Trust
Kategorie: ml-automationAudit

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

4.6K
Stars
80/100
Trust
Kategorie: ml-automationAudit

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

22K
Stars
87/100
Trust
Kategorie: ml-automationAudit

🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

29K
Stars
79/100
Trust
Kategorie: developmentAudit

Datasets, Transforms and Models specific to Computer Vision

18K
Stars
82/100
Trust
Kategorie: ml-automationAudit

A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

11K
Stars
87/100
Trust
Kategorie: data-analysisAudit

Refine high-quality datasets and visual AI models

11K
Stars
82/100
Trust
Kategorie: coding-agentsAudit

Full featured CSV parser with simple api and tested against large datasets.

4.3K
Stars
77/100
Trust
Kategorie: data-analysisAudit

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

7.1K
Stars
86/100
Trust
Kategorie: data-analysisAudit

A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval

14K
Stars
75/100
Trust
Kategorie: dataAudit

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

5.0K
Stars
86/100
Trust
Kategorie: ml-automationAudit