Alternatives and similar repositories for LSTNet

Users that are interested in LSTNet are comparing it to the libraries listed below

• shunyaoshih / TPA-LSTM
  Temporal Pattern Attention for Multivariate Time Series Forecasting
  ☆733Updated 6 years ago
• laiguokun / multivariate-time-series-data
  ☆861Updated 8 years ago
• zhangxu0307 / time_series_forecasting_pytorch
  time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code
  ☆413Updated 6 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆394Updated 5 years ago
• Zhenye-Na / DA-RNN
  📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)
  ☆424Updated 4 years ago
• LongxingTan / Time-series-prediction
  tfts: Time Series Deep Learning Models in TensorFlow
  ☆872Updated 2 weeks ago
• mlpotter / Transformer_Time_Series
  Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
  ☆593Updated 2 years ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆178Updated 3 years ago
• jingw2 / demand_forecast
  ☆470Updated 2 years ago
• maxjcohen / transformer
  Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
  ☆902Updated 2 years ago
• husnejahan / DeepAR-pytorch
  ☆267Updated 4 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆261Updated last year
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆236Updated 5 years ago
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆895Updated 2 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆143Updated 6 years ago
• ghsama / ConvTransformerTimeSeries
  Convolutional Transformer for time series
  ☆281Updated 5 years ago
• Seanny123 / da-rnn
  Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
  ☆339Updated 4 years 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
• cure-lab / SCINet
  The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…
  ☆665Updated 2 years ago
• natashaklingenbrunn / Transformer-Time-Series-Forecasting
  ☆395Updated 4 years ago
• vincent-leguen / DILATE
  Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"
  ☆394Updated 5 years ago
• oneday88 / deepTCN
  ☆157Updated 4 years ago
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆276Updated 5 years ago
• nnzhan / MTGNN
  ☆892Updated 2 years ago
• JEddy92 / TimeSeries_Seq2Seq
  This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series for…
  ☆612Updated 6 years ago
• arrigonialberto86 / deepar
  Tensorflow implementation of Amazon DeepAR
  ☆310Updated 4 years ago
• titu1994 / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆514Updated 5 years ago
• JulesBelveze / time-series-autoencoder
  PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
  ☆702Updated 8 months ago
• Jenniferz28 / Time-Series-ARIMA-XGBOOST-RNN
  Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
  ☆746Updated 6 years ago
• lkulowski / LSTM_encoder_decoder
  Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
  ☆434Updated 4 years ago