amitadate / S-LSTM-GAN-MNIST
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
- Tensorflow Implementation of GAN modeling for sequential data☆69Updated 7 years ago
- Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".☆126Updated last year
- Semi-supervised Learning GAN☆79Updated 7 years ago
- A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.☆297Updated 11 months ago
- Implementation of C-RNN-GAN.☆453Updated 6 years ago
- Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"☆54Updated 6 years ago
- Deep generative networks, coded with Keras.☆122Updated 7 years ago
- Keras implementation of the conditional GAN.☆57Updated 8 years ago
- Tensorflow implementation of adversarial auto-encoder for MNIST☆87Updated 7 years ago
- Simple implementation of Least Squares Generative Adversarial Networks☆43Updated 7 years ago
- Implementation of Adversarial Autoencoder in Keras☆32Updated 6 years ago
- Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (…☆150Updated 7 years ago
- Auxiliary Classifier Generative Adversarial Networks in Keras☆213Updated 7 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…☆144Updated 6 years ago
- An experimental Generative Adversarial Network implementation of the Capsule Neural Network☆52Updated 7 years ago
- Tensorflow implementation of embed CNN-LSTM network for sentiment analysis task.☆26Updated 5 years ago
- Using a GAN based multi scale CNN to predict future frames of a video. Implemented in Chainer☆56Updated 6 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 Wasserstein GAN (and Improved version in wgan_v2)☆240Updated 6 years ago
- Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"☆127Updated 6 years ago
- Autoencoders using Keras☆77Updated 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
- Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image gene…☆24Updated 7 months ago
- Tensorflow implementation for Conditional Convolutional Adversarial Networks.☆222Updated 2 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆93Updated 8 years ago
- Implement Generative Adversarial Nets by Tensorflow☆99Updated 7 years ago
- ☆48Updated 7 years ago
- InfoGAN: Interpretable Representation Learning☆153Updated 7 years ago
- Tensorflow implementation of Generative Adversarial Network for approximating a 1D Gaussian distribution☆25Updated 7 years ago
- Chainer implementation of adversarial autoencoder (AAE)☆256Updated 7 years ago