Pinned Loading

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. 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

3. process_Bedmap3_source_data process_Bedmap3_source_data Public

   Programmatic pipeline to process the Bedmap3 source data collection

   Jupyter Notebook

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