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！
  ☆125Updated 2 years ago
• jinmang2 / LSTM-SAE
  Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)
  ☆24Updated 7 months ago
• vigorfif / Soft-Sensor-Modelling
  Soft sensor modelling using multiple machine learning algorithms
  ☆23Updated 5 years ago
• zhangjy113 / DAE_impute
  Time series missing data imputation with Temporal Convolutional Denoising Autoencoder
  ☆18Updated 9 months ago
• zhangqingqingq / Fault-diagnosis-based-on-LSTM
  TE data diagnosis using pytorch
  ☆20Updated 6 years ago
• RamanHacks / Fault-Diagnosis
  Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks
  ☆39Updated 6 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
• SchindlerLiang / VAE-for-Anomaly-Detection
  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
  ☆123Updated 6 years ago
• JustusvLiebig / Soft_Sensor_Experiments
  ☆88Updated 2 years ago
• KevinHooah / BayesianLSTM-for-Time-series-Prediction
  Bayesian LSTM for time-series prediction.
  ☆20Updated 4 years ago
• LauJohansson / AnomalyDetection_VAE_LSTM
  ☆33Updated 3 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆38Updated 6 years ago
• chunhuiz / Industrial_ZSL
  ☆22Updated 3 years ago
• hkaneko1985 / adaptive_soft_sensors
  Adaptive Soft Sensors
  ☆17Updated 5 years ago
• leferrad / pyoselm
  A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning
  ☆40Updated 8 months ago
• LZhengyu / MSCRED
  Implementation of paper:A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
  ☆27Updated 5 years ago
• shanmukh98 / tep-fault-detection
  Unified index for unsupervised fault detection in a Tennessee Eastman Process
  ☆13Updated 5 years ago
• min-gyu-kang / Anomaly_Detection
  MD,LSTM-AE,VAE-MAD-GAN
  ☆30Updated 3 years ago
• mangushev / mtad-tf
  Implementation of MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern
  ☆16Updated 4 years ago
• cyrilli / SSVAE
  try out bearing fault diagnosis with semi-supervised vae
  ☆38Updated 7 years ago
• iamownt / LSTM-DeepFM
  Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor
  ☆28Updated 3 years ago
• Lichen0102 / Multi-mode-Fault-Diagnosis-Datasets-with-TE-process
  Multi-mode Fault Diagnosis Datasets with TE process (MMFDD-TEP) can be used for the purpose of comparison studies or validation of algor…
  ☆26Updated last year
• paya54 / Anomaly_Detect_LSTM_VAE
  Keras implementation of LSTM-VAE model for anomaly detection
  ☆37Updated 4 years ago
• kxytim / DLVM_for_process_monitoring
  Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".
  ☆10Updated 3 years ago
• mehak25 / BiGAN
  ☆13Updated 3 years ago
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆100Updated 5 years ago
• tilman151 / DomainAdaption_PHM2020
  Code and supplementary material for ICPHM2020
  ☆26Updated 4 years ago
• jay15summer / Two-stage-TrAdaboost.R2
  ☆47Updated 6 years ago
• rz0718 / MHMS_DEEPLEARNING
  ☆93Updated 4 years ago
• tuananhphamds / MST-VAE
  Multi-Scale Temporal Variational Autoencoder for Anomaly Detection in Multivariate Time Series
  ☆12Updated 2 years ago