Thanks to visit codestin.com
Credit goes to GitHub.com

Skip to content

PO-CHEN-LAI/IGCL

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

30 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

IGCL

Here are the codes for our submitted paper. We modified the contrastive loss to the min-max loss where positive samples and negative samples are discriminated by series distance. The min-max loss works better than the contrastive loss.

Data

https://github.com/zhkai/IGCL/releases/tag/dataset. And you can find and download all datasets at https://github.com/decisionintelligence/TAB (Data preparation).

Environment

  • Python 3.6
  • tensorflow 1.14.0
  • pytorch 1.4.0

Runing

run with 'python main.py'

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages

  • Python 100.0%