Alternatives and similar repositories for Conditional_VAE

Users that are interested in Conditional_VAE are comparing it to the libraries listed below

• mehulrastogi / Deep-Belief-Network-pytorch
  This repository has implementation and tutorial for Deep Belief Network
  ☆101Updated 7 years ago
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆127Updated 5 years ago
• sksq96 / pytorch-vae
  A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
  ☆303Updated 5 years ago
• twairball / keras_lstm_vae
  Keras implementation of LSTM Variational Autoencoder
  ☆229Updated 6 years ago
• nathanhubens / Autoencoders
  Implementation of simple autoencoders networks with Keras
  ☆248Updated 5 years ago
• lyeoni / keras-mnist-CVAE
  ☆15Updated 7 years ago
• slim1017 / VaDE
  Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
  ☆311Updated 7 years ago
• Naresh1318 / Adversarial_Autoencoder
  A wizard's guide to Adversarial Autoencoders
  ☆433Updated 4 years ago
• tijiang13 / Semi-supervised-VAE
  ☆24Updated 6 years ago
• chaitanya100100 / VAE-for-Image-Generation
  Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…
  ☆122Updated 7 years ago
• psanch21 / VAE-GMVAE
  This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures
  ☆210Updated 5 years ago
• syorami / Autoencoders-Variants
  Pytorch implementations of various types of autoencoders
  ☆65Updated 7 years ago
• ermongroup / ssdkl
  Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
  ☆77Updated 6 years ago
• RuiShu / vae-clustering
  Unsupervised clustering with (Gaussian mixture) VAEs
  ☆300Updated 9 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆198Updated 2 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆135Updated 2 years ago
• ldeecke / vae-torch
  Variational autoencoder for anomaly detection (in PyTorch).
  ☆47Updated 6 years ago
• atinghosh / VAE-pytorch
  Variational auto encoder in pytorch
  ☆56Updated 6 years ago
• kenya-sk / mc_dropout_tensorflow
  This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.
  ☆18Updated 2 years ago
• crmaximo / VAEGAN
  Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"
  ☆54Updated 7 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆80Updated 6 years ago
• lstruski / Processing-of-missing-data-by-neural-networks
  ☆43Updated 6 years ago
• ProcessMonitoringStellenboschUniversity / IFAC-VAE-Imputation
  Demonstration code for missing data imputation using Variational Autoencoders (VAE)
  ☆23Updated 6 years ago
• kumar-shridhar / Master-Thesis-BayesianCNN
  Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
  ☆264Updated 6 years ago
• ethanluoyc / pytorch-vae
  A Variational Autoencoder (VAE) implemented in PyTorch
  ☆434Updated 3 years ago
• msmbuilder / vde
  Variational Autoencoder for Dimensionality Reduction of Time-Series
  ☆189Updated 3 years ago
• schelotto / Wasserstein-AutoEncoders
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆298Updated 5 years ago
• fducau / AAE_pytorch
  ☆201Updated 8 years ago
• coolvision / vae_conv
  Convolutional variational autoencoder in PyTorch
  ☆46Updated 7 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆55Updated 6 years ago