Alternatives and similar repositories for adversarial-autoencoder

Users that are interested in adversarial-autoencoder are comparing it to the libraries listed below

• KurochkinAlexey / SOM-VAE
  Pytorch implementation of SOM-VAE: INTERPRETABLE DISCRETE REPRESENTATION LEARNING ON TIME SERIES https://arxiv.org/pdf/1806.02199v7.pdf
  ☆32Updated 6 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆55Updated 6 years ago
• ogrisel / eegssl
  Experiments on Self-Supervised Learning on EEG data
  ☆19Updated 5 years ago
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆70Updated 6 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆197Updated 2 years ago
• lstruski / Processing-of-missing-data-by-neural-networks
  ☆43Updated 6 years ago
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆70Updated 4 years ago
• mmcdermott / CWR-GAN
  The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.
  ☆24Updated 6 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆84Updated 6 years ago
• kamenbliznashki / generative_models
  Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
  ☆92Updated 4 years ago
• natashamjaques / MultimodalAutoencoder
  Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Pr…
  ☆70Updated 6 years ago
• ry85 / VAE-GAN
  Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"
  ☆43Updated 5 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• matthew-liu / beta-vae
  A Pytorch Implementation of the Beta-VAE
  ☆44Updated 6 years ago
• mrquincle / keras-adversarial-autoencoders
  Experiments with Adversarial Autoencoders using Keras
  ☆22Updated 5 years ago
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 6 years ago
• edchengg / VCCA_pytorch
  VCCA Pytorch Implementation on MNIST dataset
  ☆16Updated 7 years ago
• juntang-zhuang / explain_invertible
  repo for "Decision explanation and feature importance for invertible networks"
  ☆14Updated 5 years ago
• gmum / wica
  WICA: nonlinear weighted ICA
  ☆12Updated last year
• 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 6 years ago
• mzgubic / MINE
  Mutual Information Neural Estimator implemented in Tensorflow
  ☆46Updated 6 years ago
• ibarrond / VariationalAutoencoders
  Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
  ☆28Updated 7 years ago
• mfbalin / Concrete-Autoencoders
  ☆118Updated 3 years ago
• ggbioing / mcvae
  Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.
  ☆32Updated 4 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆92Updated 5 years ago
• shivakanthsujit / VAE-PyTorch
  Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch
  ☆32Updated last year
• Harry24k / MIDA-pytorch
  PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"
  ☆28Updated 6 years ago
• atinghosh / VAE-pytorch
  Variational auto encoder in pytorch
  ☆57Updated 6 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 6 years ago
• tijiang13 / Semi-supervised-VAE
  ☆24Updated 6 years ago