Alternatives and similar repositories for DSANet

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

• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆143Updated 6 years ago
• Zhenye-Na / DA-RNN
  📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)
  ☆425Updated 4 years ago
• oneday88 / deepTCN
  ☆158Updated 4 years ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆176Updated 3 years ago
• zhangxu0307 / time_series_forecasting_pytorch
  time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code
  ☆411Updated 6 years ago
• amitesh863 / nbeats_forecast
  N-Beats library implementation
  ☆89Updated 3 years ago
• LiamMaclean216 / Pytorch-Transfomer
  My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
  ☆321Updated 4 years ago
• Seanny123 / da-rnn
  Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
  ☆339Updated 4 years ago
• hihihihiwsf / AST
  Adversarial Sparse Transformer for Time Series Forecasting
  ☆140Updated 3 years ago
• sunfanyunn / DARNN
  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆111Updated last year
• 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 2 years ago
• ghsama / ConvTransformerTimeSeries
  Convolutional Transformer for time series
  ☆281Updated 5 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆393Updated 5 years ago
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆230Updated 5 years ago
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆194Updated 6 years ago
• stevinc / Transformer_Timeseries
  Pytorch code for Google's Temporal Fusion Transformer
  ☆101Updated 3 years ago
• shunyaoshih / TPA-LSTM
  Temporal Pattern Attention for Multivariate Time Series Forecasting
  ☆731Updated 6 years ago
• KurochkinAlexey / DA-RNN
  Pytorch implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction https://arxiv.org/pdf/1704.02971…
  ☆38Updated 6 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆185Updated 2 years ago
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆149Updated 4 years ago
• Han-JD / GRU-D
  inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver
  ☆118Updated 6 years ago
• vincent-leguen / DILATE
  Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"
  ☆393Updated 4 years ago
• caow13 / BRITS
  Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series
  ☆233Updated 6 years ago
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆179Updated 11 months ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 7 years ago
• Maple728 / MTNet
  Tensorflow implementation of paper http://arxiv.org/abs/1809.02105
  ☆66Updated 5 years ago
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆137Updated 4 years ago
• proceduralia / pytorch-GAN-timeseries
  GANs for time series generation in pytorch
  ☆274Updated 6 years ago
• husnejahan / DeepAR-pytorch
  ☆265Updated 4 years ago
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆273Updated 5 years ago