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  1. FluxNet FluxNet Public

    Reproducible code for "Deep Learning Ice Shelf Basal Melt Rates via Differentiable Physics" (accepted paper/oral at Climate Informatics 2026)

    Jupyter Notebook 1

  2. Bedmap_Antarctica_source_data_preprocessing Bedmap_Antarctica_source_data_preprocessing Public

    Python preprocessing pipeline for all ice thickness and bed elevation source data ("standardised csv's") from Bedmap1, Bedmap2, and Bedmap3.

    Python

  3. mass_conservation_on_rails mass_conservation_on_rails Public

    Reproducible code for "Mass Conservation on Rails -- Rethinking Physics-Informed Learning of Ice Flow Vector Fields" (accepted to NeurIPS25 CCAI workshop)

    Python

  4. dfNGP dfNGP Public

    Introducing divergence-free Neural Gaussian Processes (dfNGPs) a hybrid GP + NN model for modelling mass-conserving vector fields

    Jupyter Notebook 1

  5. BedMachine_tutorial BedMachine_tutorial Public

    Loading, processing, visualising, and projecting BedMachine data with Python

    Jupyter Notebook 1

  6. svgd svgd Public

    Implementation of Stein Variation Gradient Descent (SVGD) to learn more about Stein

    Jupyter Notebook 4