Showing 1 open source project for "multiscale"

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    TimeMixer

    TimeMixer

    Decomposable Multiscale Mixing for Time Series Forecasting

    TimeMixer is a deep learning framework designed for advanced time series forecasting and analysis using a multiscale neural architecture. The model focuses on decomposing time series data into multiple temporal scales in order to capture both short-term seasonal patterns and long-term trends. Instead of relying on traditional recurrent or transformer-based architectures, TimeMixer is implemented as a fully multilayer perceptron–based model that performs temporal mixing across different resolutions of the data. ...
    Downloads: 0 This Week
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