Alternatives and similar repositories for MQRNN

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

• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆185Updated 2 years ago
• oneday88 / deepTCN
  ☆157Updated 4 years ago
• amitesh863 / nbeats_forecast
  N-Beats library implementation
  ☆89Updated 4 years ago
• jingw2 / demand_forecast
  ☆470Updated 2 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆143Updated 6 years ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆179Updated 3 years ago
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆236Updated 5 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆394Updated 5 years ago
• Daniela-Shereen / GBRT-for-TSF
  ☆205Updated 2 years ago
• cchallu / nbeatsx
  ☆208Updated 3 years ago
• EnowshWong / Multi-step_Multivariate_Time_Series_Prediction
  ☆18Updated 6 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆94Updated 5 years ago
• PlaytikaOSS / tft-torch
  A Python library that implements ״Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting״
  ☆145Updated last year
• husnejahan / DeepAR-pytorch
  ☆270Updated 4 years ago
• stevinc / Transformer_Timeseries
  Pytorch code for Google's Temporal Fusion Transformer
  ☆103Updated 3 years ago
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆72Updated 6 years ago
• 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 3 years ago
• aaronhan223 / htsf
  Hierarchical Time Series Forecasting
  ☆15Updated 2 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
• lpphd / multivariate-attention-tcn
  ☆98Updated 2 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆262Updated last year
• kaelzhang / DA-RNN-in-Tensorflow-2-and-PyTorch
  A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:…
  ☆31Updated last year
• takumiw / Time-Series-Demand-Forecasting
  Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.
  ☆32Updated 4 years ago
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆89Updated 4 years ago
• ErezSC42 / qr_forcaster
  Our implementation of the paper "A Multi-Horizon Quantile Recurrent Forecaster"
  ☆34Updated 2 years ago
• kdgutier / esrnn_torch
  ☆157Updated 4 years ago
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆139Updated 4 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆39Updated 6 years ago
• Sanyam-Mehta / TPA-LSTM-PyTorch
  This is the PyTorch implementation of TPA-LSTM
  ☆60Updated 5 years ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆25Updated 4 years ago