gradient-penalty

arunppsg/TadGAN

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

maple-research-lab/glsgan-gp

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

georgehalal/cWGAN-GP

A conditional Wasserstein Generative Adversarial Network with gradient penalty (cWGAN-GP) for stochastic generation of galaxy properties in wide-field surveys

Data-Science-kosta/WGAN-GP-for-Face-Generation

Keras implementation of WGAN GP for face generation. The model is trained on CelebA dataset.

LynnHo/GAN-Techniques-Tensorflow

GANs: Losses, Regularizations and Normalizations

NicelyCla/cWGAN-gp

My version of cWGAN-gp. Simply my cDCGAN-based but using the Wasserstein Loss and gradient penalty.

palle-k/DL4S-WGAN-GP

Wasserstein GAN with Gradient Penalty in DL4S

dvmazur/Shoe-GAN

Generating shoes with GANs in sake of lulz and education

KimRass/PGGAN

PyTorch implementation of 'PGGAN' (Karras et al., 2018) from scratch and training it on CelebA-HQ at 512 × 512

salty-vanilla/tf-gans

Major GANs are implemented in this repository 🔥

sungyubkim/GP-Works

A brief visualization of how GP(Gradient Penalty) for GAN works

weilinie/GAN-general

Tensorflow implementation for training GANs with various objectives and gradient penalties, different network architectures, both image and word generations

HarshvirSandhu/Pix2Pix

Image to Image translation using conditional GANs with Wasserstein loss and gradient penalty

smacra2/EvoSeqGAN

LSTM-based GAN for simulating DNA sequence evolution

avhirupc/Stability-of-GANs