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  1. fortran-ml-bridge fortran-ml-bridge Public

    Forked from Cambridge-ICCS/fortran-tf-lib

    Code and examples on directly calling Tensorflow / Pytorch / Keras ML models from Fortran.

    Fortran

  2. Data-driven-super-parametrization-with-deep-learning Data-driven-super-parametrization-with-deep-learning Public

    Forked from envfluids/Data-driven-super-parametrization-with-deep-learning

    Python

  3. deepWRF deepWRF Public

    This is a tutorial for using WRF (Deep configuration with model top at 1 Pa) to generate high resolution simulation of GWs.

    Shell

  4. WACCM-Emulation WACCM-Emulation Public

    This is a DNN written with PyTorch to Emulate the gravity wave drag (GWD, both zonal and meridional ) in the WACCM Simulation.

    Python 3