amitadate / S-LSTM-GAN-MNISTLinks
This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"
☆88Updated 5 years ago
Alternatives and similar repositories for S-LSTM-GAN-MNIST
Users that are interested in S-LSTM-GAN-MNIST are comparing it to the libraries listed below
Sorting:
- Semi-supervised Learning GAN☆79Updated 7 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 8 years ago
- Tensorflow Implementation of GAN modeling for sequential data☆69Updated 8 years ago
- Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".☆126Updated 2 years ago
- A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head atte…☆145Updated 6 years ago
- Keras implementation of the conditional GAN.☆57Updated 8 years ago
- A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.☆297Updated last year
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆122Updated 6 years ago
- Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"☆127Updated 6 years ago
- Auxiliary Classifier Generative Adversarial Networks in Keras☆213Updated 7 years ago
- Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (…☆152Updated 7 years ago
- Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"☆54Updated 7 years ago
- Deep generative networks, coded with Keras.☆122Updated 7 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 6 years ago
- Autoencoders using Keras☆77Updated 7 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆88Updated 6 years ago
- Wasserstein GAN TensorFlow Implementation☆45Updated 5 years ago
- Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this reposi…☆139Updated 7 years ago
- A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.☆71Updated 7 years ago
- GANs with multiple Discriminators☆78Updated 2 years ago
- Implement Generative Adversarial Nets by Tensorflow☆99Updated 7 years ago
- Implementation of some basic GAN architectures in Keras☆45Updated 7 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆92Updated 8 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆76Updated 7 years ago
- Autoencoding beyond pixels using a learned similarity metric by Larsen et al. (https://arxiv.org/abs/1512.09300)☆39Updated 5 years ago
- ☆200Updated 8 years ago
- A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).☆130Updated 5 years ago
- VAE-GAN in Tensorflow☆90Updated 6 years ago
- TensorFlow LSTM-autoencoder implementation☆191Updated 7 years ago