🤗 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.

Interactive deep learning book with multi-framework 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.

🤗 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)

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

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.

Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge sharing and integrates knowledge into your AI workflow

Natural Language Processing Tutorial for Deep Learning Researchers