#
wgan-gp
Here are 79 public repositories matching this topic...
Collection of generative models in Tensorflow
tensorflow
gan
mnist
infogan
generative-model
vae
ebgan
generative-adversarial-networks
wgan
cvae
lsgan
variational-autoencoder
began
cgan
wgan-gp
generative-models
dragan
acgan
fashion-mnist
improved-wgan
-
Updated
Jul 21, 2018 - Python
Collection of generative models in Pytorch version.
package
collection
pytorch
generative-adversarial-network
gan
mnist
infogan
ebgan
wgan
lsgan
began
cgan
wgan-gp
dragan
conditional-gan
acgan
fashion-mnist
-
Updated
Apr 12, 2020 - Python
でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet
machine-learning
deep-learning
neural-network
chainer
tensorflow
keras
pytorch
dcgan
vae
seq2seq
machinelearning
deeplearning
ga
wgan
wgan-gp
xception
seq2seq-attention
-
Updated
Jun 14, 2020 - Jupyter Notebook
DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2
-
Updated
Nov 22, 2019 - Python
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
python
machine-learning
pytorch
gan
dcgan
reproducibility
gans
generative-adversarial-networks
cvpr
cgan
wgan-gp
generative-models
ssgan
sngan
cvpr2020
sngan-projection
cvpr20
infomax-gan
-
Updated
Jun 8, 2020 - Python
Simple Implementation of many GAN models with PyTorch.
pytorch
gan
mnist
infogan
dcgan
regularization
celeba
wgan
began
wgan-gp
infogan-pytorch
conditional-gan
pytorch-gan
gan-implementations
vanilla-gan
gan-pytorch
gan-tutorial
stanford-cars
cars-dataset
began-pytorch
-
Updated
Nov 22, 2019 - Jupyter Notebook
Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
tensorflow
generative-adversarial-network
dcgan
colab
wgan
began
wgan-gp
acgan
pggan
sngan
face-generative
rsgan
rasgan
-
Updated
Aug 12, 2019 - Python
A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
-
Updated
Aug 27, 2018 - Python
Pytorch implementation of Wasserstein GANs with Gradient Penalty
-
Updated
Jan 25, 2018 - Python
Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018
deep-neural-networks
computer-vision
deep-learning
tensorflow
keras
cnn
python3
nvidia
generative-adversarial-network
gan
convolutional-neural-networks
places365
image-inpainting
inpainting
wasserstein-gan
wgan-gp
improved-wasserstein
improved-wgan
nips-2018
neurips-2018
-
Updated
Mar 30, 2020 - Python
A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp implementation of SRGAN referring to "Improved Training of Wasserstein GANs".
-
Updated
Dec 15, 2018 - Python
Pure tensorflow implementation of progressive growing of GANs
tensorflow
generative-adversarial-network
gan
wgan
wasserstein-gan
wgan-gp
progressive-gan
pggan
progressively-growing-gan
-
Updated
Jan 26, 2018 - Python
Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"
python
deep-neural-networks
deep-learning
tensorflow
generative-adversarial-network
gan
wgan
wgan-gp
-
Updated
Apr 20, 2018 - Python
speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN
-
Updated
Apr 16, 2018 - Python
Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10
-
Updated
Dec 18, 2019 - Python
Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images
lasagne
theano
deep-learning
medical-imaging
generative-adversarial-network
mri-images
unsupervised-learning
medical-images
neuralnetwork
wgan
wasserstein-gan
wgan-gp
improved-wgan
gan-lasagne
-
Updated
Oct 25, 2017 - Python
Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'
-
Updated
May 24, 2018 - Python
Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
-
Updated
May 9, 2020 - Jupyter Notebook
Playing with MNIST. Machine Learning. Generative Models.
generative-adversarial-network
gan
mnist
infogan
pca
vae
ebgan
autoencoders
tsne
wgan
lsgan
began
wgan-gp
acgan
conditonal-gan
-
Updated
Oct 7, 2018 - Python
Improve this page
Add a description, image, and links to the wgan-gp topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the wgan-gp topic, visit your repo's landing page and select "manage topics."
This is an awesome library, thanks @ddbourgin!!
Users might not know the best way to install this package and try it out. (I didn't, so I eventually just copied the source files.)
Neither the readme nor readthedocs have install instructions.
I couldn't find it on PyPi or Anaconda, and there doesn't appear to be a
pyproject.toml,setup.cfg,setup.py, or conda recipe.Moreover, the t