GAN

Implementation of GAN and Conditional GAN, in tensorflow 2 and pytorch.

GAN is based on the paper Generative Adversarial Networks.

CGAN is based on the paper Conditional Generative Adversarial Nets

To Train GAN

python train.py

To See Demo

streamlit run demo.py

To Train Conditional GAN

python train_cgan.py

To See CGAN Demo

streamlit run demo_cgan.py