记录重要的NLP学习资源链接

整理一些NLP学习资源(不止NLP，本人主要关注NLP)，如果有更好的，欢迎分享^_

NLP 中文自然语言处理相关资料
https://github.com/crownpku/Awesome-Chinese-NLP

Contents 列表

Chinese NLP Toolkits 中文NLP工具

Toolkits 综合NLP工具包

Popular NLP Toolkits for English/Multi-Language 常用的英文或支持多语言的NLP工具包

Chinese Word Segment 中文分词

Information Extraction 信息提取

QA & Chatbot 问答和聊天机器人

Corpus 中文语料
Organizations 中文NLP学术组织及竞赛
Industry 中文NLP商业服务
Learning Materials 学习资料
中文语料库：包括情感词典情感分析文本分类单轮对话中文词典知乎
https://github.com/GeneralZh/Chinese_Corpus
pytorch学习
https://github.com/chenyuntc/pytorch-book

https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html

https://www.pytorchtutorial.com/pytorch-tutorials-list/

AI最新paper阅读 Browse state-of-the-art
https://paperswithcode.com/sota

https://mp.weixin.qq.com/s/JwGgaYRpL9HhzOHau7yY1g

数据下载

论文摘要：

https://paperswithcode.com/media/about/papers-with-abstracts.json.gz

论文与代码之间的链接：

https://paperswithcode.com/media/about/links-between-papers-and-code.json.gz

评估排行榜：

https://paperswithcode.com/media/about/evaluation-tables.json.gz

参考：

NLP 进展：

https://github.com/sebastianruder/NLP-progress

斯坦福问答数据集(Stanford Question answer Dataset, SQuAD)

https://rajpurkar.github.io/SQuAD-explorer/

State-of-the-art result for all Machine Learning Problems

https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems

自己动手做聊天机器人教程
http://www.shareditor.com/bloglistbytag/?tagname=自己动手做聊天机器人

https://github.com/lc222/ChatBotCourse

6.Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）
https://github.com/apachecn/kaggle

100+ Chinese Word Vectors 上百种预训练中文词向量
https://github.com/Embedding/Chinese-Word-Vectors
吴恩达老师的机器学习&深度学习课程个人笔记
https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes

https://github.com/fengdu78/deeplearning_ai_books

斯坦福 nlp课程 CS224n: Natural Language Processing with Deep Learning
http://web.stanford.edu/class/cs224n/
ACL
http://aclasb.dfki.de/#tpc_{%7Cattention%20model*doc}P16-1059*

https://acl2018.org/programme/papers/

https://aclanthology.info/events/acl-2018

https://aclanthology.info/events/acl-2017

11.机器学习数据集
http://archive.ics.uci.edu/ml/index.php
作为机器学习社区的一项服务，我们目前维护着468个数据集。

GitHub新项目快报
http://www.open-open.com/github/view/github2018-06-11.html

13.《COMS W4995 Applied Machine Learning》由哥伦比亚大学开设
https://www.cs.columbia.edu/~amueller/comsw4995s19/

https://www.cs.columbia.edu/~amueller/comsw4995s19/schedule/

https://github.com/amueller/COMS4995-s19

https://www.bilibili.com/video/av22123631/

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
https://github.com/brightmart/nlp_chinese_corpus

40个中文NLP词库
https://github.com/fighting41love/funNLP

https://mp.weixin.qq.com/s/WL6hqAn2-glpPOiVAxcS5w

非正式汉语数据集资源内容来源分别“豆瓣读书”和Chiphell论坛
https://mp.weixin.qq.com/s/xzHMzQ4uVBJaUR8b_KNptA

深度学习资源列表 All You Need to Know About Deep Learning
https://github.com/osforscience/deep-learning-ocean

Table of Contents
Introduction
Motivation
What’s the point of this open source project?
Papers
Models
Convolutional Networks
Recurrent Networks
Autoencoders
Generative Models
Probabilistic Models
Core
Optimization
Representation Learning
Understanding and Transfer Learning
Reinforcement Learning
Applications
Image Recognition
Object Recognition
Action Recognition
Caption Generation
Natural Language Processing
Speech Technology
Datasets
Image
General
Face
Object Recognition
Action recognition
Text and Natural Language Processing
General
Text classification
Question Answering
Sentiment Analysis
Machine Translation
Summarization
Speech Technology
Courses
Books
Blogs
Tutorials
Frameworks
Contributing
Pull Request Process
Final Note
16. 医疗深度学习技术指南
https://mp.weixin.qq.com/s/7rsY_ZkZ28pk_-oJhAU-mQ

200多个最好的机器学习、NLP和Python相关教程

https://mp.weixin.qq.com/s/hsJXEV0gBO5rLujYWY3F7g

PyTorch资源
关于github的pytorch相关内容的完整列表，如不同的模型、实现、帮助库、教程等

https://mp.weixin.qq.com/s/Gci97dSsLoZepf1RC_sYoA

https://github.com/bharathgs/Awesome-pytorch-list

Contents
Pytorch & related libraries
NLP & Speech Processing
Computer Vision
Probabilistic/Generative Libraries
Other libraries
Tutorials & examples
Paper implementations
Pytorch elsewhere