Skip to content

Implementing different deep learning architecture using pyTorch to classify EEG signals.

Notifications You must be signed in to change notification settings

Rongzhq/EEG_classification

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

EEG_classification

Implementing different deep learning architecture using pyTorch to classify EEG signals. Project part of the course Deep Learning (EE-559), given by François Fleuret.

About

Implementing different deep learning architecture using pyTorch to classify EEG signals.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 99.4%
  • Python 0.6%