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^_^

1. NLP 中文自然语言处理相关资料

   https://github.com/crownpku/Awesome-Chinese-NLP 

Contents 列表

1. 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

2. Corpus 中文语料

3. Organizations 中文NLP学术组织及竞赛

4. Industry 中文NLP商业服务

5. Learning Materials 学习资料

 

2. 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

 

3. 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/

 

4. 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

 

5. 自己动手做聊天机器人教程

http://www.shareditor.com/bloglistbytag/?tagname=%E8%87%AA%E5%B7%B1%E5%8A%A8%E6%89%8B%E5%81%9A%E8%81%8A%E5%A4%A9%E6%9C%BA%E5%99%A8%E4%BA%BA

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

 

7. 100+ Chinese Word Vectors 上百种预训练中文词向量

https://github.com/Embedding/Chinese-Word-Vectors

 

8. 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

 

9. 斯坦福 nlp课程 CS224n: Natural Language Processing with Deep Learning

http://web.stanford.edu/class/cs224n/

 

10. 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。

 

12. 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/

 

14. 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

 

15. 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

 

17. 200多个最好的机器学习、NLP和Python相关教程

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

 

18. 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
  •  

20. 最新知识图谱论文清单

https://mp.weixin.qq.com/s/Yg-ggqTg5HlcvrH9BKC0YA

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