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科研工具及使用

[TOC]

Efficent Tools

Listary

Find files/directorys

And we can pin the directorys to the Quick Access by right click

DocFetcher

Search content in txt/pptx/excel

PDF Reader

Ipad, I suggest marginnote or liquidtext

Windows -> Liquidtext, So I suggest to use liquidtext

Citavi is good when you are reading for writing. But Just for reading, liquidtext is better.

Document Manage/文献管理

Citavi

highly recommended

It also support task management

TheBrain

CNIK E-study

zetero + mendeley

同时使用zetero + mendeley

Code

Pycharm for Project

Version Control

github for windows

gitkraken

Writting

latex

Online

online editor

overleaf

VSCode + Latex Workshop

Draw Diagram/Figures

tikz

latex,

examples

draw_convnet

github

PPT template

template file

Graphviz

trying to find more examples

MakeNN

Inkscape

Netscope

website

可视化/Visualization

实验结果可视化 Experimental Results

自己写的 written by myself.

因为在机器学习或深度学习的实验中, 主要是比较不同实验(方法、参数)的训练过程或准确度, 画这种图比较多, 什么散点图、 饼状图都很少, 数值也不用画图, 所以我这个工具只用于加载 npy 文件画 折线图。

Because in machine learning/deep learning, the main task is to compare the training process or accuracy or loss by different parameters or methods. So usually we just need to draw curves instead of scatter/pie. So in this tool, I just load npy files and draw curves about the process.

ExpVis

网络可视化 NN visualization

2D3D Neural Network

this man is lazy, nothing left

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Published

4月 2, 2018

Category

科研

Tags

  • 工具 5
  • 科研 3

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