hamaadshah/fair_ml_R

Creating fair machine learning models with Generative Adversarial Networks using R.

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.