bioinf-jku/coulomb_gan

This repository contains an implementation of Coulomb GANs as described in Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields by Unterthiner et al. As a first step, adjust the path to the datasets in get_dataset_path in the file utils.py. Note that during training, the FID metric is calculated to estimate quality. But to save time, we use only 5k generated samples, which underestimates the FID. Thus to evaluate final model quality, use the evaluate_fid.py The implementation was developed in Python 3.6 using Tensorflow 1.2, but should work with any version of Python 3.5 and Tensorflow 1.0 .