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@pangeo-data @ocean-transport @probabilistic-dynamics
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  1. linf linf Public

    Lagrangian INFerence: work in progress using mixture density networks to learn dynamics from surface drifter data.

    Jupyter Notebook 2

  2. BMC BMC Public

    Python code for 'Bayesian comparison of stochastic models of dispersion' -- https://doi.org/10.1017/jfm.2022.472.

    Python 1

  3. NS2D NS2D Public

    Simple object-oriented Python implementation of a pseudospectral two-dimensional turbulence model.

    Python

  4. transition_density transition_density Public

    Python code for 'Inferring ocean transport statistics with probabilistic neural networks', available at https://doi.org/10.1029/2023MS003718.

    Jupyter Notebook