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

• jsikyoon / SequentialData-GAN
  Tensorflow Implementation of GAN modeling for sequential data
  ☆69Updated 7 years ago
• buriburisuri / timeseries_gan
  A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.
  ☆297Updated last year
• snowkylin / rnn-vae
  Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
  ☆39Updated 8 years ago
• erilyth / DCGANs
  Implementation of some basic GAN architectures in Keras
  ☆45Updated 7 years ago
• nejlag / Semi-Supervised-Learning-GAN
  Semi-supervised Learning GAN
  ☆79Updated 7 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆86Updated 6 years ago
• zhangqianhui / vae-gan-tensorflow
  Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"
  ☆127Updated 6 years ago
• r0nn13 / conditional-dcgan-keras
  Keras implementation of the conditional GAN.
  ☆57Updated 8 years ago
• lukedeo / keras-acgan
  Auxiliary Classifier Generative Adversarial Networks in Keras
  ☆213Updated 7 years ago
• jeffdonahue / bigan
  code for "Adversarial Feature Learning"
  ☆238Updated 2 years ago
• JonathanRaiman / tensorflow-infogan
  InfoGAN: Interpretable Representation Learning
  ☆153Updated 7 years ago
• tatsy / keras-generative
  Deep generative networks, coded with Keras.
  ☆122Updated 7 years ago
• JeremyCCHsu / tf-vaegan
  VAE-GAN in Tensorflow
  ☆90Updated 6 years ago
• ckmarkoh / GAN-tensorflow
  Implement Generative Adversarial Nets by Tensorflow
  ☆99Updated 7 years ago
• kuleshov / tf-wgan
  Wasserstein DCGAN in Tensorflow/Keras
  ☆93Updated 8 years ago
• crmaximo / VAEGAN
  Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"
  ☆54Updated 6 years ago
• hwalsuklee / tensorflow-mnist-AAE
  Tensorflow implementation of adversarial auto-encoder for MNIST
  ☆87Updated 7 years ago
• twairball / keras_lstm_vae
  Keras implementation of LSTM Variational Autoencoder
  ☆227Updated 5 years ago
• Rachnog / disentanglment
  Experiments with beta-VAE to learn disentangled representations from the data
  ☆65Updated 6 years ago
• iwyoo / LSTM-autoencoder
  TensorFlow LSTM-autoencoder implementation
  ☆191Updated 7 years ago
• gusgad / capsule-GAN
  Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
  ☆126Updated last year
• baudm / vaegan-celebs-keras
  Autoencoding beyond pixels using a learned similarity metric by Larsen et al. (https://arxiv.org/abs/1512.09300)
  ☆39Updated 5 years ago
• arashsaber / Deep-Convolutional-AutoEncoder
  This is a tutorial on creating a deep convolutional autoencoder with tensorflow.
  ☆59Updated 7 years ago
• zhangqianhui / Conditional-GAN
  Tensorflow implementation for Conditional Convolutional Adversarial Networks.
  ☆221Updated 2 years ago
• maitek / waae-pytorch
  Wasserstein Adversarial Autoencoder Pytorch
  ☆27Updated 7 years ago
• GunhoChoi / LSGAN-TF
  Simple implementation of Least Squares Generative Adversarial Networks
  ☆43Updated 7 years ago
• tund / D2GAN
  Dual Discriminator Generative Adversarial Nets
  ☆63Updated 7 years ago
• jonzia / Recurrent_Autoencoder
  Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
  ☆29Updated 3 years ago
• viorik / ConvLSTM
  Spatio-temporal video autoencoder with convolutional LSTMs
  ☆294Updated 8 years ago
• shaohua0116 / VAE-Tensorflow
  A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
  ☆130Updated 5 years ago