wasserstein-gan

There are 5 repositories under wasserstein-gan topic.

yfeng95 / GAN
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
gan dcgan wasserstein-gan infogan adversarial-nets
Language:Python 2771
EmilienDupont / wgan-gp
Pytorch implementation of Wasserstein GANs with Gradient Penalty
wgan-gp pytorch wasserstein-gan gradient-penalty gan
Language:Python 235
arunppsg / TadGAN
Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"
wasserstein-gan gradient-penalty generative-adversarial-network time-series-anomaly-detection pytorch
Language:Python 145
jiamings / cramer-gan
Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
tensorflow generative-adversarial-network generative-model generative tensorflow-experiments tensorflow-models wasserstein-gan cramer-gan
Language:Python 126
for-ai / CipherGAN
TensorFlow implementation of CipherGAN
gan dcgan wasserstein-gan generative-adversarial-network deep-learning nlp ciphergan cyclegan pix2pix tensorflow
Language:Python 123
tlatkowski / inpainting-gmcnn-keras
Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018
inpainting keras deep-learning nips-2018 gan generative-adversarial-network convolutional-neural-networks tensorflow computer-vision cnn python3 wasserstein-gan wgan-gp image-inpainting deep-neural-networks improved-wgan improved-wasserstein neurips-2018 places365 nvidia
Language:Python 93
1Konny / WAE-pytorch
beta-vae vae wae wasserstein-autoencoder wasserstein-gan wgan
Language:Python 66
andreaferretti / ganzo
A GAN framework
dcgan gan pytorch wasserstein-gan
Language:Python 66
tensorfreitas / DCGAN-for-Bird-Generation
DCGAN and WGAN implementation on Keras for Bird Generation
dcgan keras gan wasserstein-gan wasserstein wgan
Language:Python 63
RahulBhalley / progressive-growing-of-gans.pytorch
Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".
progressive-gan generative-adversarial-network pytorch discriminator generator wasserstein-gan wgan tensorboard optimal-transport
Language:Python 50
fonfonx / WassersteinGAN.torch
Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875
deep-learning gan neural-networks torch wasserstein wasserstein-gan
Language:Lua 47
afrozas / skip-thought-gan
Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors
nlp gans generative-adversarial-network skip-thought-vectors text-generation wasserstein-gan data-science
45
ChristophReich1996 / Mode_Collapse
Mode collapse example of GANs in 2D (PyTorch).
2d gan generative-adversarial-network geometric-gan least-squares-gan mode-collapse non-saturating-gan-loss plot visualization wasserstein-gan
Language:Python 36
fmu2 / Wasserstein-BiGAN
Wasserstein BiGAN (Bidirectional GAN trained using Wasserstein distance)
deep-learning gan generative-adversarial-network wasserstein-gan
Language:Python 35
preritj / progressive_growing_of_GANs
Pure tensorflow implementation of progressive growing of GANs
gan generative-adversarial-network progressively-growing-gan progressive-gan tensorflow pggan wasserstein-gan wgan-gp wgan
Language:Python 30
linksense / ConvolutionaNeuralNetworksToEnhanceCodedSpeech
In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral domain features. The proposed postprocessors in both domains are evaluated for various narrowband and wideband speech codecs in a wide range of conditions. The proposed postprocessor improves speech quality (PESQ) by up to 0.25 MOS-LQO points for G.711, 0.30 points for G.726, 0.82 points for G.722, and 0.26 points for adaptive multirate wideband codec (AMR-WB). In a subjective CCR listening test, the proposed postprocessor on G.711-coded speech exceeds the speech quality of an ITU-T-standardized postfilter by 0.36 CMOS points, and obtains a clear preference of 1.77 CMOS points compared to G.711, even en par with uncoded speech.
cnn keras speech-enhancement speech-processing speech-reconstruction post-processing gan generative-adversarial-network wasserstein-gan 1d-convolution mfcc
Language:Python 28
drewszurko / tensorflow-WGAN-GP
TensorFlow 2.0 implementation of Improved Training of Wasserstein GANs
tensorflow tensorflow-wgan-gp tensorflow-datasets wasserstein-gan wgan-gp tensorflow2
Language:Python 25
shaform / DeepNetworks
My implementations of deep neural networks for practice.
deep-learning deep-neural-networks generative-adversarial-network mnist jupyter-notebook wasserstein-gan dragan discogan
Language:Jupyter Notebook 23
laurahanu / Improved-Wasserstein-GAN-application-on-MRI-images
Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images
wgan-gp wgan deep-learning neuralnetwork mri-images medical-imaging lasagne theano medical-images generative-adversarial-network unsupervised-learning gan-lasagne improved-wgan wasserstein-gan
Language:Python 22
fukuta0614 / chainer-image-generation
chainer implementation of VAE-GAN, Wasserstein GAN (WGAN), CycleGAN
chainer gan pix2pix vae wasserstein-gan
Language:Python 21
hvy / chainer-wasserstein-gan
Chainer implementation of the Wesserstein GAN
chainer gan wgan wasserstein-gan
Language:Python 21
vsooda / mxnet-wgan
mxnet implement for Conditional Wasserstein GAN
wasserstein-gan wgan cgan mxnet-gan
Language:Python 20
nardeas / MHGAN-Tensorflow
Metropolis-Hastings GAN in Tensorflow for enhanced generator sampling
mhgan gan wgan metropolis-hastings tensorflow mhgan-tensorflow wasserstein-gan
Language:Python 19
KnetML / WGAN.jl
Implementation of Wasserstein GAN using Knet
julia knet machine-learning deep-learning neural-networks wgan wasserstein-gan
Language:Julia 15
dr-costas / undaw
Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance
acoustic-scene-classification adversarial-training audio-signal-processing deep-learning domain-adaptation machine-learning machine-listening optimal-transport pytorch unsupervised-domain-adaptation unsupervised-learning unsupervised-machine-learning wasserstein-distance wasserstein-gan
Language:Python 13
RahulBhalley / turing-gan
Source code for "Training Generative Adversarial Networks Via Turing Test".
generative-adversarial-network pytorch turing-test optimal-transport lipschitz-functions wasserstein-gan gan mnist fashion-mnist cifar10 turing-gans wasserstein
13
hiwonjoon / wae-wgan
Reimplementation of Wasserstein Auto Encoder (WAE) with Wasserstein GAN based penalty D_Z in Tensorflow
wasserstein-autoencoder wae tensorflow tf wasserstein-gan wgan celeba mnist
Language:Jupyter Notebook 12
georgehalal / cWGAN-GP
A conditional Wasserstein Generative Adversarial Network with gradient penalty (cWGAN-GP) for stochastic generation of galaxy properties in wide-field surveys
wasserstein-gan conditional-gan pytorch tqdm pandas healpy pickle logging json gradient-penalty
Language:Python 11
mickypaganini / GAN_tutorial
Vanilla GAN and WGAN implementations in PyTorch on the FashionMNIST dataset
gan wgan wasserstein-gan fashionmnist tutorial ipython-notebook fermilab binder generative-adversarial-network pytorch pytorch-tutorial
Language:Jupyter Notebook 10
cedrickchee / wasserstein-gan
PyTorch implementation of Wasserstein GAN paper
wasserstein-gan generative-adversarial-network educational-materials lsun-dataset
Language:Jupyter Notebook 9
Data-Science-kosta / WGAN-GP-for-Face-Generation
Keras implementation of WGAN GP for face generation. The model is trained on CelebA dataset.
gan gans wasserstein-gan gradient-penalty keras celeba-dataset face-generation
Language:Jupyter Notebook 9
kpandey008 / wasserstein-gans
Implementation of Wasserstein Generative Adversarial Networks using Tensorflow
deeplearning discriminator gan generative-adversarial-network generative-model generator machine-learning tensorflow wasserstein-gan wgan
Language:Jupyter Notebook 9
NicelyCla / cWGAN-gp
My version of cWGAN-gp. Simply my cDCGAN-based but using the Wasserstein Loss and gradient penalty.
gan deep-learning machine-learning conditional-gan wasserstein-gan wasserstein-distance gradient-penalty
Language:Python 9
MeetGandhi / Reconstruction-of-Trajectory-recorded-with-Missing-Markers
This repository deals with analyzing various Neural Network approaches and finding the one with the most accurate reconstruction of motion captured trajectories recorded with missing markers in softwares like Vicon Nexus
missing-markers reconstruction motion-capture-data tcn ode-model lstm rnn wasserstein-gan vicon motion-capture ode-rnn latent-odes
Language:Python 7
NicelyCla / GAN-and-Meta-Learning
We've applied the Reptile algorithm to our GAN architectures. The peculiarity is the exclusion of G from meta-learning. Surprisingly, everything worked and the research was published in a paper. More details reported on the paper "Towards Latent Space Optimization of GANs Using Meta-Learning" and the thesis (Italian).
deep-learning gan machine-learning meta-learning wasserstein-distance wasserstein-gan reptile
Language:Python 7
giocoal / ADNI-brain-MRI-alzheimer-WGAN-generation-and-classification
Brain T1-Weighted MRI Images Classification and WGAN Generation (Alzheimer's and Healthy patients) for the purpose of data augmentation. Implemented in TensorFlow, trained on ADNI dataset.
brain-mri generative-adversarial-network medical-imaging mri-generation mri-images wasserstein-gan wgan-gp
Language:Python 6

wasserstein-gan

yfeng95 / GAN

EmilienDupont / wgan-gp

arunppsg / TadGAN

jiamings / cramer-gan

for-ai / CipherGAN

tlatkowski / inpainting-gmcnn-keras

1Konny / WAE-pytorch

andreaferretti / ganzo

tensorfreitas / DCGAN-for-Bird-Generation

RahulBhalley / progressive-growing-of-gans.pytorch

fonfonx / WassersteinGAN.torch

afrozas / skip-thought-gan

ChristophReich1996 / Mode_Collapse

fmu2 / Wasserstein-BiGAN

preritj / progressive_growing_of_GANs

linksense / ConvolutionaNeuralNetworksToEnhanceCodedSpeech

drewszurko / tensorflow-WGAN-GP

shaform / DeepNetworks

laurahanu / Improved-Wasserstein-GAN-application-on-MRI-images

fukuta0614 / chainer-image-generation

hvy / chainer-wasserstein-gan

vsooda / mxnet-wgan

nardeas / MHGAN-Tensorflow

KnetML / WGAN.jl

dr-costas / undaw

RahulBhalley / turing-gan

hiwonjoon / wae-wgan

georgehalal / cWGAN-GP

mickypaganini / GAN_tutorial

cedrickchee / wasserstein-gan

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

kpandey008 / wasserstein-gans

NicelyCla / cWGAN-gp

MeetGandhi / Reconstruction-of-Trajectory-recorded-with-Missing-Markers

NicelyCla / GAN-and-Meta-Learning

giocoal / ADNI-brain-MRI-alzheimer-WGAN-generation-and-classification