wgan-gp
There are 159 repositories under wgan-gp topic.
Machine-Learning-Tokyo/generative_deep_learning
Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
omagdy/3DRDN-CycleGAN
Deep CNN for performing 3D super resolution on CT/MRI scans
changwoolee/WGAN-GP-tensorflow
Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"
bchao1/Fun-with-MNIST
Playing with MNIST. Machine Learning. Generative Models.
laurahanu/Improved-Wasserstein-GAN-application-on-MRI-images
Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images
harrystuart/tfworldhackathon
GitHub repo for my Tensorflow World hackathon submission
henry32144/wgan-gp-tensorflow
A Tensorflow 2.0 implementation of WGAN-GP
s-chh/PyTorch-GAN-Variants
From scratch, simple and easy-to-understand Pytorch implementation of variants of generative adversarial network (GAN). Implemented variants: Conditional GAN (cGAN), DCGAN, LSGAN. Datasets used MNIST, SVHN, FashionMNIST, CIFAR10, CelebA, LSUN-Bedroom, LSUN-Church.
YeonwooSung/GAN_Implementation
Pytorch implementations of GANs
Rick-McCoy/ClassicGAN
ClassicGAN: Generation of Classical Music with PGGAN
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.
kartikgill/The-GAN-Book
The GAN Book: Train stable Generative Adversarial Networks using TensorFlow2, Keras and Python.
daigo0927/WGAN_GP
Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'
hanyoseob/pytorch-WGAN-GP
Improved Training of Wasserstein GANs
AdalbertoCq/GANs-Slides-Code-Paper
Tutorial introduction slides to GANs. Code implementations and links of relevant papers.
assassint2017/Generative-model-using-pytorch
implement GANs and VAE using pytorch
Matesxs/GAN-Playground
This repository is about different types of GANs in pytorch, their proper settings and training results
FLC-QU-hep/getting_high
Modelling electromagnetic showers in the central region of the Silicon-Tungsten calorimeter of the proposed ILD
jbu5105/Towards_album_artwork_generation_based_on_audio
Repo of my master thesis at Pompeu Fabra University: "Towards album artwork generation based on audio". We analyze VAEs and GANs to condition image generation with audio.
lsbnb/amp_gan
The GAN model for designing AMP
s-chh/Pytorch-WGANGP
Pytorch implementation of Improved Training of Wasserstein GANs or WGAN-GP (Wasserstein GAN with Gradient Penalty) using DCGAN architecture for generating 64x64 images.
joycenerd/Deep_Learning_Practice_labs
Labs for 5003 Deep Learning Practice course in summer term 2021 at NYCU.
chanshing/sobolev_gan
Pytorch implemention of Sobolev GAN (https://arxiv.org/abs/1711.04894)
imironhead/ml_gans
Replicated Results of Generative Adversarial Networks Papers
aditgupta1/LogoNet
Generating realistic logos with GAN's
anhtuan85/GAN_series
PyTorch implementations of Generative Adversarial Network series
hichoe95/PyTorch_WGAN_GP
Wasserstein GAN with gradient penalty tutoria, PyTorch ver.
TiagoCortinhal/ADASR
Master's Final Project: Adversarial Domain Adaptation Super Resolution
bkhanal-11/generative-deep-learning
Road towards diffusion models.
cmayeul/FluoGAN
This repository contains an adaptation of CryoGAN and MSR-GAN inverse problem framework for super-resolution in fluorescence microscopy
kanesp/Image_WGAN_GP
This repository implements WGAN_GP.
karoly-hars/GANs_for_cats_and_flowers
Generating cats with DCGAN and WGAN-GP.
kochlisGit/Generative-Adversarial-Networks
Generation of Human-Like handwritten digits using different GAN Architectures. The models were developed using Low-Level Tensorflow.
seasonyc/face_gan
An adversarial translator for CelebA
HEMANGANI/Music-Generation-Using-WGAN-GP-and-Self-Attention-Mechanism
Developed a music generation deep learning model using WGAN-GP and self-attention, aimed at creating melodic compositions.
JayYik/GAN_implementations
Implementations of GANs