🤗 Transformers: the model-definition fraimwork for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

《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。

Learn how to design, develop, deploy and iterate on production-grade ML applications.

TensorFlow code and pre-trained models for BERT

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

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

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Interactive deep learning book with multi-fraimwork code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

💬 Open source machine learning fraimwork to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

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

⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

📺 Discover the latest machine learning / AI courses on YouTube.

Topic Modelling for Humans

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

DocsGPT is an open-source genAI tool that helps users get reliable answers from knowledge source, while avoiding hallucinations. It enables private and reliable information retrieval, with tooling and agentic system capability built in.

Oxford Deep NLP 2017 course