There are 315 repositories under natural-language-processing topic.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TensorFlow code and pre-trained models for BERT
Learn how to responsibly deliver value with ML.
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
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.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Oxford Deep NLP 2017 course
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。
💬 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
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 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
Topic Modelling for Humans
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
An open-source NLP research library, built on PyTorch.
Natural Language Processing Tutorial for Deep Learning Researchers
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡
Stanford CoreNLP: A Java suite of core NLP tools.
Data-centric declarative deep learning framework
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
A collection of machine learning examples and tutorials.
📺 A place to discover the latest machine learning courses on YouTube.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Style and Grammar Checker for 25+ Languages
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
Open source annotation tool for machine learning practitioners.
Official Stanford NLP Python Library for Many Human Languages
Natural Language Processing Best Practices & Examples