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

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Simple Implementation of many GAN models with PyTorch.

Spectral Normalization for Keras Dense and Convolution Layers

Privacy-preserving generative deep neural networks support clinical data sharing

A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.

Visualization of GAN training process

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

🙄 Difficult algorithm, Simple code.

Periodic Spatial Generative Adversarial Networks

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Discovering Interpretable GAN Controls [NeurIPS 2020]

Chainer implementation of Wasserstein GAN

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Projecting images to latent space with StyleGAN2.

StarNet

This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.

Neural Paiters