Alternatives and similar repositories for time-series-autoencoder

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

• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆390Updated 5 years ago
• nok-halfspace / Transformer-Time-Series-Forecasting
  ☆395Updated 4 years ago
• LongxingTan / Time-series-prediction
  tfts: Time Series Deep Learning Models in TensorFlow
  ☆854Updated 2 weeks ago
• shunyaoshih / TPA-LSTM
  Temporal Pattern Attention for Multivariate Time Series Forecasting
  ☆726Updated 6 years ago
• zhangxu0307 / time_series_forecasting_pytorch
  time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code
  ☆403Updated 6 years ago
• mlpotter / Transformer_Time_Series
  Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
  ☆589Updated 2 years ago
• lin-shuyu / VAE-LSTM-for-anomaly-detection
  We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
  ☆522Updated 2 years ago
• tejaslodaya / timeseries-clustering-vae
  Variational Recurrent Autoencoder for timeseries clustering in pytorch
  ☆485Updated last year
• gzerveas / mvts_transformer
  Multivariate Time Series Transformer, public version
  ☆831Updated last year
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆222Updated 5 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆260Updated last year
• allen-chiang / Time-Series-Transformer
  A data preprocessing package for time series data. Design for machine learning and deep learning.
  ☆218Updated 4 years ago
• maxjcohen / transformer
  Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
  ☆888Updated 2 years ago
• KasperGroesLudvigsen / influenza_transformer
  PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
  ☆256Updated 2 years ago
• cure-lab / SCINet
  The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…
  ☆656Updated last year
• Zhenye-Na / DA-RNN
  📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)
  ☆423Updated 4 years ago
• zhihanyue / ts2vec
  A universal time series representation learning framework
  ☆708Updated 10 months ago
• thuml / Nonstationary_Transformers
  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…
  ☆531Updated 10 months ago
• laiguokun / multivariate-time-series-data
  ☆834Updated 8 years ago
• oliverguhr / transformer-time-series-prediction
  proof of concept for a transformer-based time series prediction model
  ☆1,404Updated 2 years ago
• DaoSword / Time-Series-Forecasting-and-Deep-Learning
  Resources about time series forecasting and deep learning.
  ☆674Updated this week
• shobrook / sequitur
  Library of autoencoders for sequential data
  ☆443Updated last year
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆264Updated 5 years ago
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆174Updated 8 months ago
• ghsama / ConvTransformerTimeSeries
  Convolutional Transformer for time series
  ☆280Updated 5 years ago
• lkulowski / LSTM_encoder_decoder
  Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
  ☆426Updated 4 years ago
• WenjieDu / SAITS
  The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (S…
  ☆426Updated 3 weeks ago
• cure-lab / Awesome-time-series
  A comprehensive survey on the time series domains
  ☆534Updated last year
• QData / spacetimeformer
  Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal …
  ☆853Updated last year
• CVxTz / time_series_forecasting
  ☆204Updated 3 years ago