KANUBALAD/Indaba23_Fairness

Indaba23 Fairness

This repo contains the 2023 Indaba Fairness Practical Notebook.

All of the codes of this notebook was taken from the Core Machine Learning Core Course offered at Saarland University by Prof.Dr.Isabel Valera. Special credits to Miriam Rateike and Adrián Javaloy who originally developed the notebook.

You will need to install Pytorch if you do not already have it.

Go to https://pytorch.org/get-started/locally/ to install Pytorch for Linux, Mac or Windows. You can choose to install via pip, conda, LibTorch or from source.