Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

124 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Useful and frequently used code for training neural networks

Requirements:

  • Basic data science libraries: numpy, scipy, tqdm, matplotlib, seaborn, pandas, scikit-learn.
  • We use Pytorch 1.4.0, but higher versions may work too.
  • Additionally, only for extracting data from Tensorboard files one might need tensorflow >= 2.0.

About

PyTorch based NN modules frequently used in various projects

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages