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: nlp-parsing

Englisches Verzeichnis

Tongyi Deep Research, the Leading Open-source Deep Research Agent

20K
Stars
81/100
Trust
Kategorie: researchAudit

💫 Industrial-strength Natural Language Processing (NLP) in Python

34K
Stars
81/100
Trust
Kategorie: ml-automationAudit

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

9.8K
Stars
86/100
Trust
Kategorie: legal-complianceAudit

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

9.4K
Stars
86/100
Trust
Kategorie: legal-complianceAudit

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

7.8K
Stars
77/100
Trust
Kategorie: ml-automationAudit

快速上手AI理论及应用实战:基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集,力求每一位能看懂并复现。

3.5K
Stars
80/100
Trust
Kategorie: ml-automationAudit

Java library for parsing and rendering CommonMark (Markdown)

2.7K
Stars
80/100
Trust
Kategorie: document-processingAudit

The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.

9.0K
Stars
75/100
Trust
Kategorie: document-processingAudit

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

18K
Stars
76/100
Trust
Kategorie: ml-automationAudit

A very simple framework for state-of-the-art Natural Language Processing (NLP)

14K
Stars
74/100
Trust
Kategorie: ml-automationAudit
Sep83

World's Fastest .NET CSV Parser. Modern, minimal, fast, zero allocation, reading and writing of separated values (`csv`, `tsv` etc.). Cross-platform, trimmable and AOT/NativeAOT compatible with blazing fast SIMD vectorized parsing.

1.5K
Stars
83/100
Trust
Kategorie: data-analysisAudit

Developer friendly Natural Language Processing ✨

1.4K
Stars
77/100
Trust
Kategorie: support-automationAudit