Alternatives and similar repositories for Denoising-Autoencoder-in-Pytorch

Users that are interested in Denoising-Autoencoder-in-Pytorch are comparing it to the libraries listed below

• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆29Updated 3 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆57Updated 6 years ago
• dd1github / DeepSMOTE
  Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
  ☆120Updated 4 years ago
• julianstastny / VAE-ResNet18-PyTorch
  A Variational Autoencoder based on the ResNet18-architecture
  ☆121Updated 6 years ago
• hans66hsu / nn_interpretability
  Pytorch implementation of various neural network interpretability methods
  ☆118Updated 3 years ago
• cure-lab / deep-active-learning
  An implementation of the state-of-the-art Deep Active Learning algorithms
  ☆104Updated 2 years ago
• cpark321 / uncertainty-deep-learning
  ☆238Updated 5 years ago
• rohban-lab / Salehi_submitted_2020
  This repository contains the codes to reproduce the results of our proposed novelty detection algorithm based on adversarially robust aut…
  ☆19Updated 2 years ago
• fhvilshoj / TorchLRP
  A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
  ☆138Updated 4 years ago
• hsinyilin19 / ResNetVAE
  Variational AutoEncoder + ResNet Transfer Learning
  ☆232Updated 3 years ago
• GH920 / improved-bagan-gp
  Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.
  ☆38Updated 3 years ago
• ywatanabe1989 / custom_losses_pytorch
  Custom loss functions to use in (mainly) PyTorch.
  ☆39Updated 4 years ago
• Kyushik / Predictive-Uncertainty-Estimation-using-Deep-Ensemble
  This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
  ☆157Updated 3 years ago
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆88Updated 4 years ago
• fabiocarrara / cbigan-ad
  Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'
  ☆40Updated 3 years ago
• saxena-mayur / Weight-Uncertainty-in-Neural-Networks
  ☆40Updated 6 years ago
• anirudhshenoy / pseudo_labeling_small_datasets
  Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…
  ☆74Updated 5 years ago
• chenjie / PyTorch-CIFAR-10-autoencoder
  This is a reimplementation of the blog post "Building Autoencoders in Keras". Instead of using MNIST, this project uses CIFAR10.
  ☆72Updated 6 years ago
• google-research / deep_representation_one_class
  ☆155Updated last year
• LukeDitria / CNN-VAE
  Variational Autoencoder (VAE) with perception loss implementation in pytorch
  ☆138Updated last year
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆132Updated 2 years ago
• liyu10000 / DeepLDA
  End-to-end Deep Linear Discriminant Analysis in Pytorch.
  ☆17Updated 4 years ago
• rishabhd786 / VAE-GAN-PYTORCH
  Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch
  ☆64Updated 5 years ago
• foamliu / Autoencoder
  Convolutional Autoencoder with SetNet in PyTorch
  ☆88Updated 2 years ago
• SashaMalysheva / Pytorch-VAE
  This is an implementation of the VAE (Variational Autoencoder) for Cifar10
  ☆73Updated 3 years ago
• Shandilya21 / Few-Shot
  A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.
  ☆87Updated 2 years ago
• huyng / incertae
  Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments
  ☆70Updated 5 years ago
• ntucllab / imbalanced-DL
  A Python Package for Deep Imbalanced Learning
  ☆57Updated last month
• tilman151 / ae_bakeoff
  The Great Autoencoder Bake Off
  ☆68Updated 4 years ago
• Lornatang / WassersteinGAN_GP-PyTorch
  Improved training of Wasserstein GANs
  ☆46Updated 4 years ago