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¶
Code¶
Pycharm for Project¶
Version Control¶
github for windows¶
gitkraken¶
Writting¶
latex¶
Online¶
online editor
VSCode + Latex Workshop¶
¶
Draw Diagram/Figures¶
tikz¶
latex,
draw_convnet¶
PPT template¶
Graphviz¶
trying to find more examples
Inkscape¶
Netscope¶
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.