GitHub topics: gradient-penalty
KimRass/PGGAN
PyTorch implementation of 'PGGAN' (Karras et al., 2018) from scratch and training it on CelebA-HQ at 512 × 512
Language: Python - Size: 2.92 GB - Last synced at: 22 days ago - Pushed at: 5 months ago - Stars: 4 - Forks: 1

arunppsg/TadGAN
Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"
Language: Python - Size: 2.52 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 154 - Forks: 34

salty-vanilla/tf-gans
Major GANs are implemented in this repository 🔥
Language: Python - Size: 5.08 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

EmilienDupont/wgan-gp
Pytorch implementation of Wasserstein GANs with Gradient Penalty
Language: Python - Size: 18.1 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 217 - Forks: 48

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.
Language: Python - Size: 1.83 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 30 - Forks: 4

georgehalal/cWGAN-GP
A conditional Wasserstein Generative Adversarial Network with gradient penalty (cWGAN-GP) for stochastic generation of galaxy properties in wide-field surveys
Language: Python - Size: 190 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 0

NicelyCla/cWGAN-gp
My version of cWGAN-gp. Simply my cDCGAN-based but using the Wasserstein Loss and gradient penalty.
Language: Python - Size: 242 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0

LynnHo/GAN-Techniques-Tensorflow 📦
GANs: Losses, Regularizations and Normalizations
Language: Python - Size: 147 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 4

dvmazur/Shoe-GAN
Generating shoes with GANs in sake of lulz and education
Language: Jupyter Notebook - Size: 264 KB - Last synced at: 21 days ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 0

smacra2/EvoSeqGAN
LSTM-based GAN for simulating DNA sequence evolution
Language: Python - Size: 74.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

HarshvirSandhu/Pix2Pix
Image to Image translation using conditional GANs with Wasserstein loss and gradient penalty
Language: Python - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

palle-k/DL4S-WGAN-GP
Wasserstein GAN with Gradient Penalty in DL4S
Language: Swift - Size: 38.1 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

Data-Science-kosta/WGAN-GP-for-Face-Generation
Keras implementation of WGAN GP for face generation. The model is trained on CelebA dataset.
Language: Jupyter Notebook - Size: 93.4 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 0

sungyubkim/GP-Works
A brief visualization of how GP(Gradient Penalty) for GAN works
Language: Jupyter Notebook - Size: 194 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 2

avhirupc/Stability-of-GANs
Language: Python - Size: 11.1 MB - Last synced at: about 2 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

weilinie/GAN-general
Tensorflow implementation for training GANs with various objectives and gradient penalties, different network architectures, both image and word generations
Language: Python - Size: 1.15 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2
