Skip to content

anishgoel1/class_imbalance_ML

Repository files navigation

The Class Imbalance Problem In Neural Networks

This repository includes the code that reproduces the results in our work involving testing a variety of resampling techniques across multiple computer vision benchmarks to provide insight into class imbalance and deep learning.

Code References:

[1] https://github.com/pytorch/pytorch/blob/279238f0b81dce43636ebc8c7b1c45cc98c7a60d/torch/utils/data
[2] https://linuxtut.com/en/a856971647ba2390f5fe/
[3] https://github.com/kuangliu/pytorch-cifar
[4] https://github.com/yunjey/pytorch-tutorial
[5] https://github.com/arturml/mnist-cgan

About

The Class Imbalance Problem In Neural Networks

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published