Alternatives and similar repositories for pytorch-AutoEncoders

Users that are interested in pytorch-AutoEncoders are comparing it to the libraries listed below

• zangzelin / Auto-encoder-AE-SAE-DAE-CAE-DAE-with-keras-in-Mnist-and-report
  ☆54Updated 6 years ago
• Nana0606 / autoencoder
  个人练习，自编码器及其变形（理论+实践）
  ☆339Updated 6 years ago
• realWang-Wei / BroadLearningSystem
  here is the introduce of bls
  ☆70Updated 4 years ago
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆125Updated 2 years ago
• zhuozhudd / PyTorch-Course-Note
  ☆68Updated 4 years ago
• LiangjunFeng / Broad-Learning-System
  BLS Code
  ☆126Updated 6 years ago
• lenalee103 / Aggregates-Database-based-on-ACGAN
  improved by ACWGAN-gp
  ☆10Updated 5 years ago
• zhangyuxin621 / AMSL
  Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source
  ☆54Updated 3 years ago
• CLaraRR / autoencoder_practice
  AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
  ☆41Updated 5 years ago
• starhou / One-dimensional-GAN
  用GAN生成一维数据
  ☆124Updated 5 years ago
• Daipuwei / DANN-MNIST
  这是论文Unsupervised Domain Adaptation by Backpropagation的复现代码，并完成了MNIST与MNIST-M数据集迁移，master和tf2分支代码为是基于tf2.x，tf1分支代码基于tf1.x
  ☆64Updated 4 years ago
• zhao62 / Deep-Residual-Shrinkage-Networks
  The deep residual shrinkage network is a variant of deep residual networks.
  ☆482Updated 2 weeks ago
• MPX0222 / BLS-APIs
  A Modified Toolbox for Broad Learning System, with sklearn liked APIs and Codes. Now BLS, Stacked-BLS, BLS-AE are Released.
  ☆29Updated 11 months ago
• strongnine / Series2Image
  Encoding time series as images using GAF operation by pyts.
  ☆225Updated 3 years ago
• haohlin / SDAE_pytorch
  Pytorch implementation of stacked denoising autoencoder
  ☆26Updated 5 years ago
• LixiangHan / GANs-for-1D-Signal
  implementation of several GANs with pytorch
  ☆159Updated 3 years ago
• wesley1001 / MACNN
  Multi-scale Attention Convolutional Neural Network for Time Series Classification
  ☆23Updated 5 years ago
• wblgers / tensorflow_stacked_denoising_autoencoder
  Implementation of the stacked denoising autoencoder in Tensorflow
  ☆205Updated 7 years ago
• iqiukp / SVDD-Python
  Python code for abnormal detection using Support Vector Data Description (SVDD)
  ☆206Updated last year
• mperezcarrasco / PyTorch-Deep-SVDD
  My PyTorch implementation of Deep SVDD for Anomaly Detection
  ☆30Updated 5 years ago
• jindongwang / tlbook-code
  Code for Transfer Learning book--《迁移学习导论》配套代码
  ☆309Updated 2 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆131Updated 2 years ago
• shiluqiang / WLSSVM_python
  Weighted LSSVM for regression
  ☆38Updated 6 years ago
• roytalman / LSTM-FCN-Pytorch
  Pytorch implementation for "LSTM Fully Convolutional Networks for Time Series Classification"
  ☆30Updated 5 years ago
• a1018680161 / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆129Updated 5 years ago
• BlingBlingss / VAE-CWGAN-GP
  Chiller Fault Diagnosis based on VAE Enabled Generative Adversarial Networks
  ☆44Updated 5 years ago
• XiubenWu / GANFORCWRU
  New GAN models in dataset of CWRU
  ☆40Updated 3 years ago
• fyancy / MetaFD
  The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
  ☆164Updated 6 months ago
• zjunet / HEBR
  Hierarchical Electricity-theft Behavior Recognition
  ☆21Updated 5 years ago
• zhangxu0307 / stack-autoencoder
  This is stack autoencoder (SAE) implemented by Pytorch
  ☆25Updated 7 years ago