Code for a Wasserstein GAN (WGAN) implemented over an abstract art images dataset

It uses Wasserstein Distance (basically measures distance between distributions)

RESULTS:

Early stages (0-100 epochs):

Intermediate stages (200-300 epochs):

Final stages (400-500 epochs)(convergence):

Attached Streamlit deployment for your viewing