🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

《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。

TensorFlow code and pre-trained models for BERT

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

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

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

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

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.

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

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

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

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。

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

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

Oxford Deep NLP 2017 course

Topic Modelling for Humans

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

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

GPT-powered chat for documentation, chat with your documents

Natural Language Processing Tutorial for Deep Learning Researchers