Alternatives and similar repositories for stack-autoencoder:

Users that are interested in stack-autoencoder are comparing it to the libraries listed below

• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆123Updated 2 years ago
• LZhengyu / MSCRED
  Implementation of paper:A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
  ☆25Updated 4 years ago
• zhangjy113 / DAE_impute
  Time series missing data imputation with Temporal Convolutional Denoising Autoencoder
  ☆18Updated 6 months ago
• jinmang2 / LSTM-SAE
  Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)
  ☆23Updated 4 months ago
• min-gyu-kang / Anomaly_Detection
  MD,LSTM-AE,VAE-MAD-GAN
  ☆30Updated 3 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆38Updated 5 years ago
• zhangqingqingq / Fault-diagnosis-based-on-LSTM
  TE data diagnosis using pytorch
  ☆20Updated 5 years ago
• RamanHacks / Fault-Diagnosis
  Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks
  ☆37Updated 6 years ago
• cyrilli / SSVAE
  try out bearing fault diagnosis with semi-supervised vae
  ☆37Updated 7 years ago
• akyadav26 / Time-Series-Forecast-with-Deep-Hybrid-Architecture
  Multivariate time-series forecasting with LSTNET and soft-DTW loss
  ☆29Updated 4 years ago
• hkaneko1985 / adaptive_soft_sensors
  Adaptive Soft Sensors
  ☆17Updated 5 years ago
• SophiaWJ / Transfer-learning
  Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction
  ☆11Updated 6 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆92Updated 4 years ago
• tony-psq / QRMGM_KDE
  A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.
  ☆21Updated 5 years ago
• ninja1mmm / 2018-phm-data-challenge
  2018 phm data challenge, ion mill machine RUL & fault diagnosis
  ☆67Updated 6 years ago
• iamownt / LSTM-DeepFM
  Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor
  ☆27Updated 2 years ago
• shanmukh98 / tep-fault-detection
  Unified index for unsupervised fault detection in a Tennessee Eastman Process
  ☆13Updated 5 years ago
• SchindlerLiang / VAE-for-Anomaly-Detection
  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
  ☆120Updated 5 years ago
• JustusvLiebig / Soft_Sensor_Experiments
  ☆87Updated 2 years ago
• haitaozhao / LSTM_fault_detection
  ☆53Updated 7 years ago
• nicolasoyharcabal / ConvRNN_for_RUL_estimation
  Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".
  ☆80Updated 6 years ago
• tilman151 / DomainAdaption_PHM2020
  Code and supplementary material for ICPHM2020
  ☆25Updated 4 years ago
• zhaoyuzhi / A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method
  TensorFlow implementation of a CNN based mechanical science paper
  ☆45Updated 6 years ago
• LauJohansson / AnomalyDetection_VAE_LSTM
  ☆33Updated 2 years ago
• MrTangsai / BearLSTM
  with LSTM method to solve bearing fault diagnosis classification
  ☆63Updated 7 years ago
• CLaraRR / autoencoder_practice
  AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
  ☆41Updated 4 years ago
• lu-zhao / EMD_LSTM
  ☆32Updated 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）
  ☆75Updated 2 years ago
• vigorfif / Soft-Sensor-Modelling
  Soft sensor modelling using multiple machine learning algorithms
  ☆21Updated 5 years ago
• ajlangley / femto-dataloader
  A data loader class for the FEMTO-ST Ball Bearing Dataset
  ☆10Updated 4 years ago