Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: multilingual-nlp

영문 디렉토리

VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning

31K
Stars
87/100
신뢰
카테고리: media-automation감사

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

20K
Stars
81/100
신뢰
카테고리: research감사

Multilingual speech understanding: ASR + emotion recognition + audio event detection. 50+ languages, 15x faster than Whisper, non-autoregressive.

8.6K
Stars
77/100
신뢰
카테고리: media-automation감사

Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.

12K
Stars
81/100
신뢰
카테고리: media-automation감사

Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio processing, YouTube download, Demucs vocal isolation, and multilingual translation.

12K
Stars
87/100
신뢰
카테고리: media-automation감사

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

34K
Stars
81/100
신뢰
카테고리: ml-automation감사

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
신뢰
카테고리: legal-compliance감사

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
신뢰
카테고리: legal-compliance감사

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

7.8K
Stars
77/100
신뢰
카테고리: ml-automation감사

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
신뢰
카테고리: ml-automation감사

An agent skill that scans web projects for common AI-generated design patterns and suggests or applies fixes to remove them.

786
Stars
84/100
신뢰
카테고리: design-creative감사

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
신뢰
카테고리: ml-automation감사