Alternatives and similar repositories for PSA-GAN

Users that are interested in PSA-GAN are comparing it to the libraries listed below

• zwzhang123 / TimeGAN-pytorch
  Pytorch implementation of the paper "Time-series Generative Adversarial Networks".
  ☆106Updated 2 years ago
• mehak25 / BiGAN
  ☆13Updated 4 years ago
• yeguo419 / DAE_impute
  Time series missing data imputation with Temporal Convolutional Denoising Autoencoder
  ☆18Updated last year
• StoicGilgamesh / LSTM-GAN-
  The LSTM GAN model can be used for generation of synthetic multi-dimension time series data.
  ☆37Updated 6 years ago
• cfeng783 / NSIBF
  Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
  ☆42Updated 3 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆40Updated 6 years ago
• zjuwuyy-DL / Generative-Semi-supervised-Learning-for-Multivariate-Time-Series-Imputation
  ☆32Updated 4 years ago
• Atrin78 / Attention-based-Time-Series-Generation
  A transformer guided GAN to generate synthetic time-series data.
  ☆33Updated 4 years ago
• EmorZz1G / PatchAD
  PatchAD, TBD 2025, deep learning, anomaly detection, outlier detection, time series, PatchAD: A Lightweight Patch-based MLP-Mixer for Tim…
  ☆41Updated 5 months ago
• mbohlkeschneider / psa-gan
  ☆20Updated 3 years ago
• fbrad / DiffusionAE
  ☆39Updated 2 years ago
• min-gyu-kang / Anomaly_Detection
  MD,LSTM-AE,VAE-MAD-GAN
  ☆31Updated 4 years ago
• Yashkataria / CGAN-for-time-series
  ☆44Updated 4 years ago
• elisejiuqizhang / USAD-on-WADI-and-SWaT
  Unofficial implementation of the KDD2020 paper "USAD: UnSupervised Anomaly Detection on multivariate time series" on two datasets cited i…
  ☆75Updated 3 years ago
• archity / synthetic-data-gan
  Experimenting with generating synthetic data using ydata-synthetic
  ☆38Updated 4 years ago
• IvanBongiorni / GAN-RNN_Timeseries-imputation
  Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
  ☆174Updated 3 years ago
• lpphd / multivariate-attention-tcn
  ☆99Updated 2 years ago
• zwd2016 / multivariate-time-series-prediction
  This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)
  ☆23Updated 5 years ago
• jinmang2 / LSTM-SAE
  Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)
  ☆26Updated last year
• Luoyonghong / E2EGAN
  ☆85Updated 6 years ago
• SophiaWJ / Transfer-learning
  Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction
  ☆12Updated 7 years ago
• lscharwaechter / TransformerGAN
  This project aims to foster the usage of Transformers as generative models to sample artificial multivariate time series. Thereby, the la…
  ☆15Updated 11 months ago
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆40Updated 4 years ago
• eBay / RANSynCoders
  ☆100Updated 2 years ago
• abudesai / timeVAE
  TimeVAE implementation in keras/tensorflow
  ☆168Updated 10 months ago
• qiumiao30 / time-series-anomaly-detection
  List of papers & datasets for anomaly detection on multivariate time-series data.
  ☆25Updated 3 years ago
• DAMO-DI-ML / CIKM22-TFAD
  Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis
  ☆56Updated 3 years ago
• BorealisAI / scaleformer
  ☆137Updated 3 years ago
• RadiantResearch / TSAT
  Transformer based model for time series prediction
  ☆134Updated 3 years ago
• wanghq21 / MICN
  Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)
  ☆128Updated 2 years ago