gradient-penalty topic

Pytorch implementation of Wasserstein GANs with Gradient Penalty

EmilienDupont

Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

arunppsg

Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN) in PyTorch with gradient penalty, including both LS-GAN and WGAN as special cases.

maple-research-lab