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分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
The Python micro framework for building web applications.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
The official gpt4free repository | various collection of powerful language models | o3 mini and deepseek r1
scikit-learn: machine learning in Python
Scrapy, a fast high-level web crawling & scraping framework for Python.
The world's simplest facial recognition api for Python and the command line
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
TensorFlow code and pre-trained models for BERT
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Instant voice cloning by MIT and MyShell. Audio foundation model.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
An open-source PAM tool alternative to CyberArk. 广受欢迎的开源堡垒机。
A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信，三十行即可自定义个人号机器人。
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Best Practices on Recommendation Systems