syorami / Autoencoders-Variants

Related projects ⓘ

Alternatives and complementary repositories for Autoencoders-Variants

• michaal94 / torch_DCEC
  Pytorch Deep Clustering with Convolutional Autoencoders implementation
  ☆103Updated 4 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆56Updated 5 years ago
• ykwon0407 / UQ_BNN
  Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
  ☆135Updated 5 years ago
• coolvision / vae_conv
  Convolutional variational autoencoder in PyTorch
  ☆46Updated 6 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆72Updated 4 years ago
• hutec / UncertaintyNN
  Implementation and evaluation of different approaches to get uncertainty in neural networks
  ☆140Updated 6 years ago
• zhampel / clusterGAN
  Pytorch Implementation of ClusterGAN (arXiv:1809.03627)
  ☆95Updated last year
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆123Updated 4 years ago
• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆26Updated 2 years ago
• xinario / catgan_pytorch
  Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
  ☆60Updated 7 years ago
• wanglouis49 / pytorch-autoencoders
  Implementation of autoencoders in PyTorch
  ☆57Updated 6 years ago
• ReyhaneAskari / pytorch_experiments
  Auto Encoders in PyTorch
  ☆64Updated 6 years ago
• ry85 / VAE-GAN
  Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"
  ☆42Updated 5 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• podgorskiy / GPND
  Generative Probabilistic Novelty Detection with Adversarial Autoencoders
  ☆129Updated 3 years ago
• neale / Adversarial-Autoencoder
  An adversarial autoencoder implementation in pytorch
  ☆83Updated 5 years ago
• snooky23 / K-Sparse-AutoEncoder
  Sparse Auto Encoder and regular MNIST classification with mini batch's
  ☆20Updated 6 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆124Updated last year
• shivakanthsujit / VAE-PyTorch
  Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch
  ☆29Updated last year
• Mind-the-Pineapple / adversarial-autoencoder
  Tensorflow 2.0 implementation of Adversarial Autoencoders
  ☆20Updated 5 years ago
• sudiptodip15 / ClusterGAN
  Latent space clustering in Generative Adversarial Network (GAN)
  ☆105Updated 2 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…
  ☆121Updated 6 years ago
• avijit9 / Contractive_Autoencoder_in_Pytorch
  Pytorch implementation of contractive autoencoder on MNIST dataset
  ☆53Updated 6 years ago
• abhisheksambyal / Autoencoders-using-Pytorch-Medical-Imaging
  Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining
  ☆46Updated 5 years ago
• atinghosh / VAE-pytorch
  Variational auto encoder in pytorch
  ☆54Updated 5 years ago
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆98Updated 5 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆79Updated 5 years ago
• kenya-sk / mc_dropout_tensorflow
  This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.
  ☆16Updated last year
• atulshanbhag / Layerwise-Relevance-Propagation
  Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
  ☆97Updated 6 years ago
• Alvinhech / resnet-autoencoder
  course project for ECS 269
  ☆23Updated 5 years ago