Skip to content

PyTorch implementation of "Smart Augmentation: Learning an Optimal Data Augmentation Strategy" https://arxiv.org/pdf/1703.08383.pdf

Notifications You must be signed in to change notification settings

mil-tokyo/smart-augment

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

36 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Smart Augmentation: Learning an Optimal Data Augmentation Strategy

DISCLAIMER This repository is no longer maintained. My attempts to replicate the results in the paper in this repo were unsuccessful.

About

PyTorch implementation of "Smart Augmentation: Learning an Optimal Data Augmentation Strategy" https://arxiv.org/pdf/1703.08383.pdf

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.8%
  • Shell 0.2%