https://github.com/mafda/generative_adversarial_networks_101

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

ccgan ccgans cgan cgans cifar-10 cifar10 conda-environment dcgan gan gans generative-adversarial-network generative-adversarial-networks jupyter-notebook keras lsgan lsgans mnist mnist-dataset tensorflow wgan

Last synced: 09 Apr 2025

https://github.com/shawnyuen/gans_paper_collection

cgans deep-learning gans generative-adversarial-network keras medical-image-analysis medical-imaging pytorch tensorflow tensorlayer theano torch

Last synced: 01 Apr 2025

https://github.com/vpanjeta/deep-object-removal

Using cGANs to remove objects from a photo

cgans deep-learning deep-neural-networks deep-object-removal gans neural-network object-removal

Last synced: 12 Apr 2025

https://github.com/yeonghyeon/cgan-tf

TensorFlow implementation of Conditional Generative Adversarial Nets (CGAN) with MNIST dataset.

cgan cgans conditional-gan conditions gan gans generative-adversarial-network generative-model mnist mnist-dataset tensorflow tensorflow-examples

Last synced: 09 Feb 2025

https://github.com/kimrass/pix2pix

'Pix2Pix' (Isola et al., 2017) implementation from scratch in PyTorch

cgans cityscapes facades from-scratch pix2pix pytorch

Last synced: 01 Apr 2025

https://github.com/nikk0001/image-to-image-translation---cgan---conditional---gan

Conditional Generative Adversarial Networks (CGANs) extend the capabilities of traditional GANs by conditioning both the generator and discriminator models on additional information, typically class labels or other forms of auxiliary information.

cgan cgan-mnist cgans generative-adversarial-network generative-ai generative-model imagetranslate

Last synced: 04 Apr 2025