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Numerical model for simulating shallow water hydrodynamics on the GPU using an Adaptive Mesh Refinment type grid. The model was designed with the goal of simulating inundation (River, Storm surge or tsunami). The model uses a Block Uniform Quadtree approach that runs on the GPU but the adaptive/multi-resolution/AMR is being implemented and not yet operational. The core SWE engine and adaptivity has been inspired and taken from St Venant solver from Basilisk and the CUDA GPU memory model has been inspired by the work from Vacondio _et al._2017)

bmi

The Basic Model Interface

chm

The Canadian Hydrological Model

coastalapp

CoastalApp will be deprecated. Please switch to https://github.com/oceanmodeling/ufs-coastal . CoastalApp is a NUOPC application implemented following UFS best practices to couple coastal ocean models and other domains (Sea Ice, Atmosphere, Wave, Inland Hydrology, ...)

daino

[Forked from wahibium] A High-level Framework for Parallel and Efficient AMR on GPUs

devito

DSL and compiler framework for automated finite-differences and stencil computation

dgswe_dsg

modified version of https://github.com/sbrus89/dgswe

dgswemv2

easywave-sycl

SYCL-focused fork of the tsunami simulation easyWave

esmf

The Earth System Modeling Framework (ESMF) is a suite of software tools for developing high-performance, multi-component Earth science modeling applications.

face_recognition

The world's simplest facial recognition api for Python and the command line

facial-expression-recognition.pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset