README.md

Creating fair machine learning models with Generative Adversarial Networks

We explore the use of Generative Adversarial Networks (GAN) for fighting hidden bias in data in order to train a classifier that is both optimal and fair.

Usage

We have used RStudio's Notebook: One can open the R Markdown file in RStudio.