Alternatives and similar repositories for time-series-autoencoder

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

• nok-halfspace / Transformer-Time-Series-Forecasting
  ☆396Updated 4 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.
  ☆529Updated 2 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆390Updated 5 years ago
• lkulowski / LSTM_encoder_decoder
  Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
  ☆427Updated 4 years ago
• KasperGroesLudvigsen / influenza_transformer
  PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
  ☆257Updated 2 years ago
• maxjcohen / transformer
  Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
  ☆891Updated 2 years ago
• zhihanyue / ts2vec
  A universal time series representation learning framework
  ☆729Updated last year
• cure-lab / SCINet
  The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…
  ☆657Updated 2 years ago
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆226Updated 5 years ago
• LongxingTan / Time-series-prediction
  tfts: Time Series Deep Learning Models in TensorFlow
  ☆857Updated last week
• gzerveas / mvts_transformer
  Multivariate Time Series Transformer, public version
  ☆836Updated last year
• mlpotter / Transformer_Time_Series
  Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
  ☆592Updated 2 years ago
• shunyaoshih / TPA-LSTM
  Temporal Pattern Attention for Multivariate Time Series Forecasting
  ☆729Updated 6 years ago
• thuml / Nonstationary_Transformers
  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…
  ☆538Updated 11 months ago
• LiamMaclean216 / Pytorch-Transfomer
  My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
  ☆322Updated 4 years ago
• laiguokun / multivariate-time-series-data
  ☆842Updated 8 years ago
• angus924 / rocket
  ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
  ☆445Updated 3 years ago
• zhangxu0307 / time_series_forecasting_pytorch
  time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code
  ☆408Updated 6 years ago
• tejaslodaya / timeseries-clustering-vae
  Variational Recurrent Autoencoder for timeseries clustering in pytorch
  ☆487Updated 2 years ago
• CVxTz / time_series_forecasting
  ☆204Updated 3 years ago
• cure-lab / Awesome-time-series
  A comprehensive survey on the time series domains
  ☆535Updated last year
• 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…
  ☆443Updated 2 weeks ago
• ghsama / ConvTransformerTimeSeries
  Convolutional Transformer for time series
  ☆282Updated 5 years ago
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆137Updated 3 years ago
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆268Updated 5 years ago
• QData / spacetimeformer
  Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal …
  ☆857Updated last year
• lpphd / multivariate-attention-tcn
  ☆97Updated 2 years ago
• oliverguhr / transformer-time-series-prediction
  proof of concept for a transformer-based time series prediction model
  ☆1,416Updated 2 years ago
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆886Updated 2 years ago
• uchidalab / time_series_augmentation
  An example of time series augmentation methods with Keras
  ☆349Updated 3 years ago