Alternatives and similar repositories for DA-RNN:

Users that are interested in DA-RNN are comparing it to the libraries listed below

• Seanny123 / da-rnn
  Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
  ☆338Updated 4 years ago
• shunyaoshih / TPA-LSTM
  Temporal Pattern Attention for Multivariate Time Series Forecasting
  ☆715Updated 6 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆261Updated 9 months ago
• zhangxu0307 / time_series_forecasting_pytorch
  time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code
  ☆395Updated 6 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆384Updated 4 years ago
• laiguokun / LSTNet
  ☆677Updated last year
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆138Updated 6 years ago
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆252Updated 5 years ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆173Updated 2 years ago
• LongxingTan / Time-series-prediction
  tfts: Time Series Deep Learning Models in TensorFlow
  ☆844Updated last week
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆875Updated 2 years ago
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆214Updated 4 years ago
• vincent-leguen / DILATE
  Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"
  ☆378Updated 4 years ago
• jingw2 / demand_forecast
  ☆460Updated last year
• laiguokun / multivariate-time-series-data
  ☆805Updated 7 years ago
• mlpotter / Transformer_Time_Series
  Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
  ☆573Updated 2 years ago
• maxjcohen / transformer
  Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
  ☆871Updated last year
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆236Updated 2 years ago
• spdin / time-series-prediction-lstm-pytorch
  Time Series Prediction with LSTM Using PyTorch
  ☆208Updated 5 years ago
• husnejahan / DeepAR-pytorch
  ☆258Updated 3 years ago
• oneday88 / deepTCN
  ☆154Updated 3 years ago
• LiamMaclean216 / Pytorch-Transfomer
  My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
  ☆319Updated 3 years ago
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆319Updated 5 years ago
• titu1994 / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆505Updated 4 years ago
• nok-halfspace / Transformer-Time-Series-Forecasting
  ☆389Updated 3 years ago
• oliverguhr / transformer-time-series-prediction
  proof of concept for a transformer-based time series prediction model
  ☆1,373Updated 2 years ago
• JulesBelveze / time-series-autoencoder
  PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
  ☆667Updated 2 weeks ago
• rajatsen91 / deepglo
  This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the p…
  ☆168Updated 4 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆179Updated last year
• ghsama / ConvTransformerTimeSeries
  Convolutional Transformer for time series
  ☆276Updated 4 years ago