Tensorflow implementation of VAE and GAN for MNIST

deep learning

This repo contains the implementation of a VAE and CVAE and applies that on MNIST dataset for modeling and generating different digits.

This is a "fork" of the Genhack3 repo for the Demeter's vision team solution.

Handwritten Digit Generation with VAE and GAN are applied.

VAE implementation for Deep Generative Models course

Comparison of DCGAN, CapsuleGAN and Variational Autoencoder for Image Generation

Investigate mapping of articulations from the image space to the latent space using neural networks.

Generative image model with learned similarity measures

The semi-supervised GAN, or SGAN, model is an extension of the GAN architecture that involves the simultaneous training of a supervised discriminator, unsupervised discriminator, and a generator model. The result is both a supervised classification model that generalizes well to unseen examples and a generator model that outputs plausible exampl…

Exercise files for Generative Adversarial Networks (GAN) Course for Beginners

The Pytorch implementation of the NIPS 2018 paper

This is a simplified implementation of VQ-GANs written in PyTorch. The architecture is borrowed from the paper "Taming Transformers for High-Resolution Image Synthesis".

work in-progress

A implement of GAN-collection for tensorflow version

Adversarial Variational Auto-Encoders (AVAEs) in Theano

NLP Modeling for Paraphrase Generation

A tensorflow implementation of VAE-GAN. This is the first approach which viewed the discriminator as a loss function to improve.

Towards Generative Modeling from (variational) Autoencoder to DCGAN