Gan TutorialSimple Implementation of many GAN models with PyTorch.
Dcgan wgan wgan Gp lsgan sngan rsgan began acgan pggan tensorflowImplementation 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
Ganotebookswgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Wgan GpA pytorch implementation of Paper "Improved Training of Wasserstein GANs"
Awesome GansAwesome Generative Adversarial Networks with tensorflow
Tf.gans ComparisonImplementations of (theoretical) generative adversarial networks and comparison without cherry-picking
Mimicry[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
SRGAN-PyTorchA PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp implementation of SRGAN referring to "Improved Training of Wasserstein GANs".
wgan-gpPytorch implementation of Wasserstein GANs with Gradient Penalty
WGAN-GP-TensorFlowTensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
WGAN-GP-tensorflowTensorflow Implementation of Paper "Improved Training of Wasserstein GANs"
Generative-ModelRepository for implementation of generative models with Tensorflow 1.x
WGAN GPKeras model and tensorflow optimization of 'improved Training of Wasserstein GANs'
Pytorch-Basic-GANsSimple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.
Fun-with-MNISTPlaying with MNIST. Machine Learning. Generative Models.