Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/zsdonghao/research-and-coding

研究资源列表 A curated list of research resources
https://github.com/zsdonghao/research-and-coding

artificial-intelligence coding machine-learning paper phd research teaching

Last synced: 25 days ago
JSON representation

研究资源列表 A curated list of research resources

Host: GitHub
URL: https://github.com/zsdonghao/research-and-coding
Owner: zsdonghao
Created: 2019-08-23T03:17:55.000Z (about 5 years ago)
Default Branch: master
Last Pushed: 2020-05-28T13:28:32.000Z (over 4 years ago)
Last Synced: 2024-10-03T19:40:15.085Z (about 1 month ago)
Topics: artificial-intelligence, coding, machine-learning, paper, phd, research, teaching
Homepage:
Size: 128 KB
Stars: 166
Watchers: 11
Forks: 19
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        # Some tips for research and coding

欢迎大家一起丰富内容～～～😄

## 0. 论文列表

- [arxiv-sanity yearly top](http://www.arxiv-sanity.com/top?timefilter=year&vfilter=all)

- ICLR2020 / [openreview](https://openreview.net/group?id=ICLR.cc/2020/Conference)

- [NIPS各年](https://papers.nips.cc)

- [NIPS2019](https://nips.cc/Conferences/2019/Schedule?type=Poster)

- [ICML2019](https://icml.cc/Conferences/2019/Schedule?type=Poster) / [oral video](https://www.youtube.com/results?search_query=icml+2019+oral)

- [ICLR2019](https://iclr.cc/Conferences/2019/Schedule?type=Poster) / [goodfellow talk](https://www.youtube.com/watch?v=sucqskXRkss) [other talks](https://www.youtube.com/watch?v=Rrf6P9tFxas)

- [ACL2019](http://www.acl2019.org/EN/program.xhtml)

- [AAAI2019](https://aaai.org/Conferences/AAAI-19/wp-content/uploads/2018/11/AAAI-19_Accepted_Papers.pdf)

- [CVPR2019](http://openaccess.thecvf.com/CVPR2019.py) / [oral list](https://github.com/hoya012/CVPR-2019-Paper-Statistics/blob/master/2019_cvpr/cvpr_2019_oral.csv) / [oral app video](https://www.youtube.com/watch?v=ts4ogdJW4_8) [oral dl video](https://www.youtube.com/watch?v=PzALQZOy09c) 网上有很多公开会议视频

- [ICCV2019](http://openaccess.thecvf.com/ICCV2019.py) / [paper分组](http://iccv2019.thecvf.com/program/main_conference)

- [SIGGRAPH2019 Technical Papers Fast Forward](https://www.youtube.com/watch?v=iDUNc5YRtzk)/ [Paper List](http://kesen.realtimerendering.com/sig2019.html)

- [DeepMind Research](https://deepmind.com/research) 看AI都有什么方向

- [NIPS 19 Subject Areas](https://nips.cc/Conferences/2019/PaperInformation/SubjectAreas) 看DL都有什么方向

- [CVPR 19 Program Guide](http://cvpr2019.thecvf.com/files/CVPR_2019_Program_Guide.pdf) 看CV都有什么方向

## 1. 科研起步

### 必读文章

- 0.[10-tips-for-research-and-a-phd](https://ruder.io/10-tips-for-research-and-a-phd/)

- 1.[Karpathy-博士经验](http://karpathy.github.io/2016/09/07/phd/) [(翻译)](https://m.sohu.com/a/125259752_465975/?pvid=000115_3w_a) 重点

- 2.[陈天奇-科研十年](https://zhuanlan.zhihu.com/p/74779853)

- 3.[王一-科研idea](https://mp.weixin.qq.com/s/e78zRIgdEtGLKiqYcRJLHQ)

- 4.[王赟-我的八年博士生涯](https://zhuanlan.zhihu.com/p/50597445)

- 5.[李沐-博士这五年](https://zhuanlan.zhihu.com/p/25099638)

- 6.[毕业撒花](https://mp.weixin.qq.com/s/j8EuhusTNlE60m8IC4ftGA)

- 7.[帝国理工-博士手册（Doctoral Milestones）](https://www.doc.ic.ac.uk/research/phd/phdmatters/handbook_PhD_2018.pdf)

- 8.[Opinionated guide ML research](http://joschu.net/blog/opinionated-guide-ml-research.html)

### 信息收集

- 1.[Google Scholar 如何查询相关文章](https://scholar.google.co.uk/scholar?hl=en&as_sdt=0%2C5&q=semantic+image+synthesis+via+adversarial+learning&btnG=)

- 2.[Google Scholar 如何follow研究者](https://scholar.google.co.uk/citations?user=xLFL4sMAAAAJ&hl=en)

- 3.[arXiv](https://arxiv.org) 未发表文章共享平台

- 4.[arXiv-sanity](http://www.arxiv-sanity.com) 更好地搜索arXiv

- 5.[sci-hub](https://sci-hub.se) 免费下载所有文章，例如输入这个：https://ieeexplore.ieee.org/document/8070331/

- 6.[Zlibrary](https://b-ok.cc/s/deep%20reinforcement%20learning) 免费下载书

- 7.[mendeley 文章整理APP](https://www.mendeley.com)

### 其他

- 1.[摘星](https://user.zxcloud.club/user)

- 2.[谷歌学术 镜像](http://scholar.hedasudi.com)

- 3.[无license下载paper](https://sci-hub.se)

## 2. Github

- Github历史和目的

- 创建账号

- 建立Repository

- git init 初始化

- 随便添加一个.txt文件

- git diff 查看当前本地修改了什么

- git diff xxx 查看xxx里面修改了什么

- git add xxx.txt 添加xxx.txt到git

- git add -A 添加所有文件到git

- git commit -m "hahahah" 添加注释

- git push 上传更新

- git clone https://github.com/account/repository.git

- git status 查询状态

- 如何在网站上修改

- git pull 与Github同步

- git branch 查看branch

- git branch -a 查看所有branch

- git branch new 创建branch名为new

- git checkout new 进入new branch

- git checkout master 返回主branch

- git checkout -b new2 创建并进入branch名为new2

- 修改branch后，commit到Github上，如何在github上发起Push Request

- .gitignore 自定义不能被添加的文件

- 添加collaborator

- 新建organization

- **练习：建立自己的个人主页** [我的例子](https://github.com/zsdonghao/zsdonghao.github.io)

## 3. 其他Coding

- [YAPF](https://github.com/google/yapf) 一个Python代码格式自动调整工具

  - yapf xxx.py 显示如何调整一个py文件

  - yapf -i xxx.py 调整一个py文件，并覆盖原文件

  - yapf -i --recursive foldername 调整一个文件夹里的py文件，并覆盖原文件

- [Python命名风格](https://www.jianshu.com/p/a793c0d960fe)

  - 类 HelloClass

  - 函数 hello_function

  - 等

- 清华源, 镜像加速安装包

  - pip install -i https://pypi.tuna.tsinghua.edu.cn/simple some-package

- 其他

  - [吴润迪整理](https://github.com/ChrisWu1997/EfficientResearchWork)

  - [Python Best Practices Guidebook](https://docs.python-guide.org/)

## 4. GPU

- 目的

- nvidia-smi 查看GPU使用情况

- watch -n 1 nvidia-smi：每秒钟刷新GPU使用情况

- sudo fuser -v /dev/nvidia* 查看GPU使用者

- sudo kill -9 PID 杀掉进程

- CUDA_VISIBLE\_DEVICES=0 python xxx.py 指定GPU0

- CUDA_VISIBLE\_DEVICES=0,1 python xxx.py 指定GPU0和1

- CUDA_VISIBLE\_DEVICES=“” python xxx.py 不使用GPU

- python xxx.py > train.log &    把输出放入train.log（>）; 不显示输出（&）

- CPU & GPU

- top

- htop

## 5. Screen

- 目的：关闭当前Terminal/命令窗口，程序依然进行。

- screen -S name 创建screen，并进入

- screen -ls 查看screen列表

- screen -r name 进入screen

- ctrl+A+D 退出当前screen

- screen -d name 关闭screen

- screen -X -S name kill 删除screen

## 6. Virtualenv

- 目的

- [Installation](https://tensorlayer.readthedocs.io/en/latest/user/installation.html)

- pip3 install virtualenv 安装virtualenv

- virtualenv env 新建环境

- source env/bin/activate 进入环境

- deactivate 退出环境

## 7. 文档

- 目的

- [Markdown](https://guides.github.com/features/mastering-markdown/)

- [Readthedoc](https://readthedocs.org)

	- https://github.com/tensorlayer/tensorlayer/tree/master/docs

	- https://tensorlayer.readthedocs.io

- [RST and Sphinx syntax](https://thomas-cokelaer.info/tutorials/sphinx/rest_syntax.html)

## 8. 远程连接

- MacOS - [Cyberduck](https://cyberduck.io)

- Windows - [MobaXterm](https://mobaxterm.mobatek.net)

- [PyCharm](https://www.jetbrains.com/pycharm/)

- 传输大文件 http://wetransfer.com

## 9. TensorLayer

- [Installation](https://tensorlayer.readthedocs.io/en/latest/user/installation.html)

- [Dynamic and Static Models](https://tensorlayer.readthedocs.io/en/latest/user/get_start_model.html)

- [Advanced Features](https://tensorlayer.readthedocs.io/en/latest/user/get_start_advance.html)

- [Data Augmentation](https://tensorlayer.readthedocs.io/en/latest/modules/prepro.html#python-can-be-fast)

- [Basic Tutorials](https://github.com/tensorlayer/tensorlayer/tree/master/examples/basic_tutorials) CIFAR10 has data augmentation

- [A Good Project Template](https://github.com/tensorlayer/srgan)

- RL Tutorials [for Research](https://github.com/tensorlayer/tensorlayer/tree/master/examples/reinforcement_learning) / [for Production](https://github.com/tensorlayer/RLzoo)

## 10. Machine Learning / System / ...

- [zsdonghao/deep-learning-note](https://github.com/zsdonghao/deep-learning-note)

- [Distributed Training](https://blog.skymind.ai/distributed-deep-learning-part-1-an-introduction-to-distributed-training-of-neural-networks/) 

- [机器学习-白板推导系列](https://search.bilibili.com/all?keyword=机器学习-白板推导系列&from_source=nav_search)

- [TingFlow](https://github.com/tqchen/tinyflow) 教学性DL框架

- [papers with code](https://paperswithcode.com/sota)

## 11. Publishing Paper

- [Conference DDL](https://aideadlin.es/?sub=ML,CV,NLP,RO,SP,DM)

- [Grammarly](https://app.grammarly.com) 查语法错误

- [Overleaf](http://overleaf.com) 协同编辑

- LaTeX: [MacTex](http://www.tug.org/mactex/downloading.html) 

- Best tool for using LaTeX locally: [VSCode](https://code.visualstudio.com/) + [LaTeX Workshop](https://marketplace.visualstudio.com/items?itemName=James-Yu.latex-workshop)