There are 385 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 develop, deploy and maintain production machine learning applications.
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
📚 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 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
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
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Oxford Deep NLP 2017 course
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Topic Modelling for Humans
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Natural Language Processing Tutorial for Deep Learning Researchers
⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
📺 Discover the latest machine learning / AI courses on YouTube.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Stanford CoreNLP: A Java suite of core NLP tools.
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Style and Grammar Checker for 25+ Languages
:mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-3 and alike). Haystack offers production-ready tools to quickly build ChatGPT-like question answering, semantic search, text generation, and more.
A collection of machine learning examples and tutorials.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Unsupervised text tokenizer for Neural Network-based text generation.
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.