dcgan topic

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important...

omerbsezer

Deep Learning sample programs using PyTorch in C++

koba-jon

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

MingtaoGuo

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

GANs-in-Action

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

csinva

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

mafda

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

carpedm20

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

moemen95

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

vee-upatising

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

pkmital