Alternatives and similar repositories for dec-pytorch:

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

• whyre788 / GAN-1D
  using WGAN to generate fault bearing vibration signals
  ☆50Updated 6 years ago
• cingtiye / Basic-time-domain-and-frequency-domain-features-of-signals
  ☆33Updated 4 years ago
• CLaraRR / autoencoder_practice
  AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
  ☆40Updated 4 years ago
• tc-imba / CNN-for-bearing-fault-diagnosis
  ☆9Updated 6 years ago
• meitetsu3 / 1DCNN
  Explanation of 1D CNN
  ☆56Updated 6 years ago
• haohlin / SDAE_pytorch
  Pytorch implementation of stacked denoising autoencoder
  ☆26Updated 5 years ago
• v3551G / Imaging_sequence_data
  ☆23Updated 3 years ago
• a1018680161 / FGPAA
  Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection
  ☆17Updated 4 years ago
• erphm / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆24Updated 5 years ago
• WH-Huan / JL-CNN
  The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.
  ☆21Updated 4 years ago
• biswajitsahoo1111 / data_driven_features_ims
  Multiclass bearing fault classification using features learned by a deep neural network.
  ☆31Updated 2 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
  ☆93Updated last year
• Jaehoon9201 / PyTorch-1D-ACGAN-Data-Augmentation
  PyTorch-1D-ACGAN for data generation. It can also work as classfier
  ☆21Updated 3 years ago
• courageface / wavelet-denoising
  Some algorithms of wavelet denoising based on PyWavelets.
  ☆45Updated 5 years ago
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆123Updated 2 years ago
• zhangqingqingq / Fault-diagnosis-based-on-LSTM
  TE data diagnosis using pytorch
  ☆20Updated 5 years ago
• he-zh / vibration_gan
  Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.
  ☆76Updated 3 years ago
• TAN-OpenLab / logistic-ELM
  A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.
  ☆20Updated 2 years ago
• peijii / BioAug
  Remarkable performance of Deep Learning Models cann't be achieved without the massive data, this tool can help you to augment your time s…
  ☆17Updated last month
• cookieli / Bearing_detect
  利用深度学习自编码器进行故障诊断的程序
  ☆10Updated 6 years ago
• pepecalvi93 / LSSTM
  Least Squares Support Tensor Machine in Python
  ☆10Updated 4 years ago
• fboldt / signalProcessing
  Experiments performed to analyse the CNN on the CWRU data set.
  ☆14Updated 4 years ago
• cyrilli / SSVAE
  try out bearing fault diagnosis with semi-supervised vae
  ☆37Updated 7 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆92Updated 4 years ago
• spzhuang / support-tensor-machine
  Try to realize the algorithm "support tensor machine"
  ☆13Updated 2 years ago
• ddrrrr / bearing-fault-diagnosis
  domain adaption with LSGAN for bearing fault diagnosis
  ☆71Updated 6 years ago
• XiubenWu / GANFORCWRU
  New GAN models in dataset of CWRU
  ☆38Updated 2 years ago
• zhaoyuzhi / A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method
  TensorFlow implementation of a CNN based mechanical science paper
  ☆44Updated 6 years ago
• jxw2018 / cost-sensitive-learning-for-imbalanced-fault-diagnosis
  imbalanced fault diagnosis
  ☆14Updated 4 years ago
• carlosfel / Motor-Fault-Diagnosis
  for my thesis work
  ☆16Updated 3 years ago