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
• dariocazzani / pytorch-AE
  Autoencoders in PyTorch
  ☆95Updated 3 years ago
• ywatanabe1989 / custom_losses_pytorch
  Custom loss functions to use in (mainly) PyTorch.
  ☆39Updated 4 years ago
• hans66hsu / nn_interpretability
  Pytorch implementation of various neural network interpretability methods
  ☆118Updated 3 years ago
• cpark321 / uncertainty-deep-learning
  ☆238Updated 5 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆131Updated 2 years ago
• Lornatang / WassersteinGAN_GP-PyTorch
  Improved training of Wasserstein GANs
  ☆46Updated 4 years ago
• julianstastny / VAE-ResNet18-PyTorch
  A Variational Autoencoder based on the ResNet18-architecture
  ☆120Updated 6 years ago
• syorami / Autoencoders-Variants
  Pytorch implementations of various types of autoencoders
  ☆66Updated 6 years ago
• dd1github / DeepSMOTE
  Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
  ☆120Updated 4 years ago
• LukeDitria / CNN-VAE
  Variational Autoencoder (VAE) with perception loss implementation in pytorch
  ☆134Updated last year
• fhvilshoj / TorchLRP
  A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
  ☆138Updated 4 years ago
• hsinyilin19 / ResNetVAE
  Variational AutoEncoder + ResNet Transfer Learning
  ☆230Updated 2 years ago
• liyu10000 / DeepLDA
  End-to-end Deep Linear Discriminant Analysis in Pytorch.
  ☆17Updated 4 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
• cure-lab / deep-active-learning
  An implementation of the state-of-the-art Deep Active Learning algorithms
  ☆104Updated last year
• zhampel / clusterGAN
  Pytorch Implementation of ClusterGAN (arXiv:1809.03627)
  ☆96Updated 2 years ago
• foamliu / Autoencoder
  Convolutional Autoencoder with SetNet in PyTorch
  ☆88Updated 2 years ago
• BayesWatch / deep-kernel-transfer
  Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
  ☆205Updated 3 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…
  ☆73Updated 5 years ago
• saxena-mayur / Weight-Uncertainty-in-Neural-Networks
  ☆39Updated 6 years ago
• nazim1021 / OOD-detection-using-OECC
  Outlier Exposure with Confidence Control for Out-of-Distribution Detection
  ☆71Updated 4 years ago
• Shandilya21 / Few-Shot
  A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.
  ☆86Updated 2 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
• liuem607 / expVAE
  Visually Explainable VAE
  ☆63Updated 4 years ago
• Ralmohsen / OSRAAE
  Open-set Recognition with Adversarial Autoencoders
  ☆39Updated 6 years ago
• UCI-ML-course-team / gan-manifold-regularization-PyTorch
  PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].
  ☆20Updated 4 years ago
• rishabhd786 / VAE-GAN-PYTORCH
  Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch
  ☆63Updated 5 years ago
• matthew-liu / beta-vae
  A Pytorch Implementation of the Beta-VAE
  ☆44Updated 6 years ago