There are 1 repository under gradient-penalty topic.
Pytorch implementation of Wasserstein GANs with Gradient Penalty
Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN) in PyTorch with gradient penalty, including both LS-GAN and WGAN as special cases.
A conditional Wasserstein Generative Adversarial Network with gradient penalty (cWGAN-GP) for stochastic generation of galaxy properties in wide-field surveys
Keras implementation of WGAN GP for face generation. The model is trained on CelebA dataset.
GANs: Losses, Regularizations and Normalizations
Wasserstein GAN with Gradient Penalty in DL4S
Major GANs are implemented in this repository 🔥
A brief visualization of how GP(Gradient Penalty) for GAN works
Tensorflow implementation for training GANs with various objectives and gradient penalties, different network architectures, both image and word generations
Image to Image translation using conditional GANs with Wasserstein loss and gradient penalty