Gan TutorialSimple Implementation of many GAN models with PyTorch.
Stars: ✭ 227 (+931.82%)
Mutual labels: gan, dcgan, celeba
Pytorch Mnist Celeba Gan DcganPytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
Stars: ✭ 363 (+1550%)
Mutual labels: gan, dcgan, celeba
DCGAN-CelebA-PyTorch-CPPDCGAN Implementation using PyTorch in both C++ and Python
Stars: ✭ 14 (-36.36%)
Mutual labels: gan, dcgan, celeba
Tf.gans ComparisonImplementations of (theoretical) generative adversarial networks and comparison without cherry-picking
Stars: ✭ 477 (+2068.18%)
Mutual labels: gan, dcgan, celeba
PycadlPython package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Stars: ✭ 356 (+1518.18%)
Mutual labels: gan, dcgan, celeba
Tf Exercise GanTensorflow implementation of different GANs and their comparisions
Stars: ✭ 110 (+400%)
Mutual labels: gan, dcgan, celeba
Face generatorDCGAN face generator 🧑.
Stars: ✭ 146 (+563.64%)
Mutual labels: gan, dcgan
GanResources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Stars: ✭ 2,127 (+9568.18%)
Mutual labels: gan, dcgan
Image generatorDCGAN image generator 🖼️.
Stars: ✭ 173 (+686.36%)
Mutual labels: gan, dcgan
Anogan TfUnofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
Stars: ✭ 218 (+890.91%)
Mutual labels: gan, dcgan
Msg Gan V1MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)
Stars: ✭ 116 (+427.27%)
Mutual labels: gan, celeba
CatdcganA DCGAN that generate Cat pictures 🐱💻
Stars: ✭ 177 (+704.55%)
Mutual labels: gan, dcgan
DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
Stars: ✭ 88 (+300%)
Mutual labels: gan, dcgan
Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Stars: ✭ 138 (+527.27%)
Mutual labels: gan, dcgan
Tensorflow Mnist Gan DcganTensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Stars: ✭ 163 (+640.91%)
Mutual labels: gan, dcgan
Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Stars: ✭ 134 (+509.09%)
Mutual labels: gan, dcgan
GANs-KerasGANs Implementations in Keras
Stars: ✭ 24 (+9.09%)
Mutual labels: gan, dcgan
cDCGANPyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)
Stars: ✭ 49 (+122.73%)
Mutual labels: dcgan, celeba
catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Stars: ✭ 50 (+127.27%)
Mutual labels: gan, dcgan