Alternatives and similar repositories for SDAE_pytorch

Users that are interested in SDAE_pytorch are comparing it to the libraries listed below

• CLaraRR / autoencoder_practice
  AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
  ☆41Updated 5 years ago
• zangzelin / Auto-encoder-AE-SAE-DAE-CAE-DAE-with-keras-in-Mnist-and-report
  ☆54Updated 6 years ago
• strongnine / Series2Image
  Encoding time series as images using GAF operation by pyts.
  ☆225Updated 3 years ago
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆101Updated 5 years ago
• spzhuang / support-tensor-machine
  Try to realize the algorithm "support tensor machine"
  ☆12Updated 3 years ago
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆124Updated 2 years ago
• realWang-Wei / BroadLearningSystem
  here is the introduce of bls
  ☆69Updated 4 years ago
• liguge / 1D-Grad-CAM-for-interpretable-intelligent-fault-diagnosis
  智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis
  ☆108Updated 2 years ago
• yyxyz / CaseWesternReserveUniversityData
  ☆139Updated 7 years ago
• LanXiu0523 / WHVG_GCN
  采用一种包含加权水平可见图(WHVG)的图卷积网络(GCN)，对采样的轴承震动时间序列数据分析，进行滚动轴承故障诊断。其中，对HVG中两节点的边，以节点距离的倒数作为权重进行加权，以削弱噪声节点对其他距离较远节点的影响。
  ☆40Updated 2 years ago
• zhuozhudd / PyTorch-Course-Note
  ☆68Updated 4 years ago
• zhao62 / Deep-Residual-Shrinkage-Networks
  The deep residual shrinkage network is a variant of deep residual networks.
  ☆482Updated last month
• cathysiyu / Mechanical-datasets
  ☆270Updated 7 years ago
• Tan-Qiyu / GNN_FD
  基于图神经网络的机械故障诊断
  ☆100Updated last year
• liguge / Deep-Residual-Shrinkage-Networks-for-intelligent-fault-diagnosis-DRSN-
  Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断
  ☆232Updated 2 years ago
• HazeDT / DAGCN
  This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…
  ☆164Updated 4 years ago
• beifengchuizoudemeng / CWRU
  ☆105Updated 5 years ago
• pepecalvi93 / LSSTM
  Least Squares Support Tensor Machine in Python
  ☆9Updated 4 years ago
• mingzhangPHD / Transfer-Learning-for-Fault-Diagnosis
  This repository is for the transfer learning or domain adaptive with fault diagnosis.
  ☆260Updated 2 years ago
• xiaosongshine / bearing_detection_by_conv1d
  [深度应用]·DC竞赛轴承故障检测开源Baseline（基于Keras1D卷积 val_acc:0.99780）
  ☆193Updated 5 years ago
• a1018680161 / Few-shot-Transfer-Learning
  Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
  ☆127Updated 5 years ago
• wangfin / SSLDPCA-IL-FaultDetection
  Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection（基于半监督密度聚类+增量学习的故障诊断）
  ☆83Updated 3 years ago
• JiaBinBin233 / CNN1D
  ☆15Updated 2 years ago
• meitetsu3 / 1DCNN
  Explanation of 1D CNN
  ☆58Updated 6 years ago
• M73ACat / ResNet-1D-DRSN-1D
  A python program to build ResNet-1D model and DRSN-1D model in keras environment.
  ☆11Updated 2 years ago
• HazeDT / PHMGNNBenchmark
  this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.
  ☆283Updated 2 years ago
• renlikun1988 / 1D-CNN-for-CWRU
  1D CNN for CWRU rolling bearings dataset
  ☆39Updated 7 years ago
• fyancy / MetaFD
  The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
  ☆164Updated 5 months ago
• v3551G / Imaging_sequence_data
  ☆23Updated 4 years ago
• XiubenWu / GANFORCWRU
  New GAN models in dataset of CWRU
  ☆40Updated 3 years ago