Alternatives and similar repositories for keras-mnist-CVAE:

Users that are interested in keras-mnist-CVAE are comparing it to the libraries listed below

• nnormandin / Conditional_VAE
  conditional variational autoencoder written in Keras [not actively maintained]
  ☆96Updated 7 years ago
• bilalmirza8519 / LSTM-VAE
  Unsupervised Deep Learning for Temporal Multi-Omics
  ☆25Updated 6 years ago
• crmaximo / VAEGAN
  Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"
  ☆54Updated 6 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆56Updated 6 years ago
• 2M-kotb / LSTM-based-Stacked-Autoencoder
  ☆19Updated 4 years ago
• CLaraRR / autoencoder_practice
  AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
  ☆41Updated 5 years ago
• kongyanye / cwgan-gp
  A keras implementation of conditional wgan-gp
  ☆46Updated 6 years ago
• mehulrastogi / Deep-Belief-Network-pytorch
  This repository has implementation and tutorial for Deep Belief Network
  ☆102Updated 6 years ago
• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆28Updated 2 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 6 years ago
• tufts-ml / GAN-Ensemble-for-Anomaly-Detection
  This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.
  ☆39Updated 3 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆130Updated last year
• waylongo / Gans-for-anomaly-detection
  Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data
  ☆13Updated 5 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆77Updated 5 years ago
• kenya-sk / mc_dropout_tensorflow
  This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.
  ☆18Updated 2 years ago
• matenure / mvGAE
  Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
  ☆32Updated 6 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆72Updated 4 years ago
• mingukkang / CVAE
  Tensorflow Code for Conditional Variational AutoEncoder
  ☆21Updated 2 years ago
• bhpfelix / PyTorch-Time-Series-Classification-Benchmarks
  Time Series Classification Benchmark with LSTM, VGG, ResNet
  ☆59Updated 7 years ago
• mperezcarrasco / PyTorch-DAGMM
  Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
  ☆65Updated 4 years ago
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆124Updated 4 years ago
• YeongHyeon / adVAE
  Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
  ☆19Updated 3 years ago
• nejlag / Semi-Supervised-Learning-GAN
  Semi-supervised Learning GAN
  ☆79Updated 7 years ago
• SonbolYb / multivariate_timeseries_dilated_conv
  Multivariate Time Series Classification using Dilated Convolutional Neural Network
  ☆12Updated 5 years ago
• jadhavhninad / Sparse_autoencoder
  Implementing sparse autoencoder for MNIST data classification using keras and tensorflow
  ☆23Updated 6 years ago
• jeanjerome / semisupervised_timeseries_infogan
  A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…
  ☆29Updated 6 years ago
• ldeecke / vae-torch
  Variational autoencoder for anomaly detection (in PyTorch).
  ☆48Updated 5 years ago
• cameronfabbri / cWGANs
  Conditional Wasserstein GANs
  ☆73Updated 7 years ago
• 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
• mdabashar / TAnoGAN
  ☆65Updated 4 years ago