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  1. IMV_LSTM IMV_LSTM Public

    Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf

    Jupyter Notebook 105 27

  2. Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction Public

    Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.00685

    Jupyter Notebook 63 18

  3. ConvRNN ConvRNN Public

    Pytorch implementation of Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction https://arxiv.org/pdf/1907.04155.pdf

    Jupyter Notebook 42 7

  4. DA-RNN DA-RNN Public

    Pytorch implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction https://arxiv.org/pdf/1704.02971.pdf

    Jupyter Notebook 37 10

  5. SOM-VAE SOM-VAE Public

    Pytorch implementation of SOM-VAE: INTERPRETABLE DISCRETE REPRESENTATION LEARNING ON TIME SERIES https://arxiv.org/pdf/1806.02199v7.pdf

    Jupyter Notebook 31 4

  6. Self-boosted-Time-series-Forecasting Self-boosted-Time-series-Forecasting Public

    Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181.pdf

    Jupyter Notebook 31 15