Synthetic data generation experiments with GANs to compare our lab's results with CTGAN results.

Each folder has a different GAN implementation. With individual for each sub-project in a requirements.txt in the folder for Python pip library installation.

This implements the ctgan using the library developed by CTGAN authors, utilizing paramaters recommended in their paper.

This implements a basic GAN with a discriminator, critic model like the CTGAN authors developed.

This project is free for personal and commercial use under the MIT License, see LICENSE for full license details.