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@ICCT-ML-in-geodesy

IAG ICCT Joint Study Group T.29: Machine learning in geodesy

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  1. Ionospheric-VTEC-Forecasting Ionospheric-VTEC-Forecasting Public

    Example of using machine learning for forecasting Vertical Total Electron Content (VTEC) in the ionosphere

    Jupyter Notebook 4 2

  2. CyGNSS-windspeed CyGNSS-windspeed Public

    Jupyter Notebook 3

  3. InSAR-based-pixel-selection InSAR-based-pixel-selection Public

    Jupyter Notebook 3 1

  4. EOP-prediction EOP-prediction Public

    Example of using machine learning for EOP prediction

    Jupyter Notebook 1

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Showing 4 of 4 repositories
  • InSAR-based-pixel-selection Public
    ICCT-ML-in-geodesy/InSAR-based-pixel-selection’s past year of commit activity
    Jupyter Notebook 3 Apache-2.0 1 0 0 Updated Jun 12, 2023
  • CyGNSS-windspeed Public
    ICCT-ML-in-geodesy/CyGNSS-windspeed’s past year of commit activity
    Jupyter Notebook 3 MIT 0 0 0 Updated Apr 29, 2023
  • Ionospheric-VTEC-Forecasting Public

    Example of using machine learning for forecasting Vertical Total Electron Content (VTEC) in the ionosphere

    ICCT-ML-in-geodesy/Ionospheric-VTEC-Forecasting’s past year of commit activity
    Jupyter Notebook 4 Apache-2.0 2 1 0 Updated Aug 29, 2022
  • EOP-prediction Public

    Example of using machine learning for EOP prediction

    ICCT-ML-in-geodesy/EOP-prediction’s past year of commit activity
    Jupyter Notebook 0 Apache-2.0 1 0 0 Updated Jun 16, 2021

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