Skip to content

Pytorch re-implementation of some contrastive Learning methods

License

Notifications You must be signed in to change notification settings

jcwang123/AwesomeContrastiveLearning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Awesome Contrastive Learning

Pytorch re-implementation of some contrastive Learning methods

Part of the codes is based on BYOL

We try our best to encapsulate all training codes into a class named Learner

image level methods

  • Exploring SimCLR: A Simple Framework for Contrastive Learning of Visual Representations SimCLR
  • Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning BYOL
  • Exploring Simple Siamese Representation Learning SimSam
  • MOCO
  • Median

pixel level methods

  • Contrastive learning of global and local features for medical image segmentation with limited annotations GL
  • Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning PixPro

About

Pytorch re-implementation of some contrastive Learning methods

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages