整理一些NLP學習資源(不止NLP，本人主要關注NLP)，如果有更好的，歡迎分享^_

NLP 中文自然語言處理相關資料
https://github.com/crownpku/Awesome-Chinese-NLP

Contents 列表

Chinese NLP Toolkits 中文NLP工具

Toolkits 綜合NLP工具包

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

Chinese Word Segment 中文分詞

Information Extraction 信息提取

QA & Chatbot 問答和聊天機器人

Corpus 中文語料

Organizations 中文NLP學術組織及競賽

Industry 中文NLP商業(yè)服務

Learning Materials 學習資料

中文語料庫：包括情感詞典 情感分析 文本分類 單輪對話 中文詞典 知乎
https://github.com/GeneralZh/Chinese_Corpus

pytorch學習
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閱讀 Browse state-of-the-art
https://paperswithcode.com/sota

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

數(shù)據(jù)下載

論文摘要：

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

論文與代碼之間的鏈接：

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

評估排行榜：

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

參考：

NLP 進展：

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

斯坦福問答數(shù)據(jù)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

自己動手做聊天機器人教程
http://www.shareditor.com/bloglistbytag/?tagname=自己動手做聊天機器人

https://github.com/lc222/ChatBotCourse

6.Kaggle 項目實戰(zhàn)（教程） = 文檔 + 代碼 + 視頻（歡迎參與）
https://github.com/apachecn/kaggle

100+ Chinese Word Vectors 上百種預訓練中文詞向量
https://github.com/Embedding/Chinese-Word-Vectors

吳恩達老師的機器學習&深度學習課程個人筆記
https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes

https://github.com/fengdu78/deeplearning_ai_books

斯坦福 nlp課程 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.機器學習數(shù)據(jù)集
http://archive.ics.uci.edu/ml/index.php
作為機器學習社區(qū)的一項服務，我們目前維護著468個數(shù)據(jù)集。

GitHub新項目快報
http://www.open-open.com/github/view/github2018-06-11.html

13.《COMS W4995 Applied Machine Learning》由哥倫比亞大學開設
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/

大規(guī)模中文自然語言處理語料 Large Scale Chinese Corpus for NLP
https://github.com/brightmart/nlp_chinese_corpus

40個中文NLP詞庫
https://github.com/fighting41love/funNLP

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

非正式漢語數(shù)據(jù)集資源 內(nèi)容來源分別“豆瓣讀書”和Chiphell論壇
https://mp.weixin.qq.com/s/xzHMzQ4uVBJaUR8b_KNptA

深度學習資源列表 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. 醫(yī)療深度學習技術指南
https://mp.weixin.qq.com/s/7rsY_ZkZ28pk_-oJhAU-mQ

200多個最好的機器學習、NLP和Python相關教程

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

PyTorch資源
關于github的pytorch相關內(nèi)容的完整列表，如不同的模型、實現(xiàn)、幫助庫、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

最新知識圖譜論文清單
https://mp.weixin.qq.com/s/Yg-ggqTg5HlcvrH9BKC0YA

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