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@EarthSciML

Earth Science and Machine Learning (EarthSciML)

Framework and algorithms for implemental symbolically-defined geoscientific models and related machine-learning algorithms
README.md

EarthSciML: Earth Science and Machine Learning

https://earthsci.dev

Packages

Package Documentation Tests Coverage Compat Formatting
EarthSciMLBase.jl Docs Tests Coverage Compat Format
EarthSciData.jl Docs Tests Coverage Compat Format
GasChem.jl Docs Tests Coverage Compat Format
Aerosol.jl Docs Tests Coverage Compat Format
EnvironmentalTransport.jl Docs Tests Coverage Compat Format
AtmosphericDeposition.jl Docs Tests Coverage Compat Format
AtmosphericDynamics.jl Docs Tests Coverage Compat Format
Emissions.jl Docs Tests Coverage Compat Format
OceanDynamics.jl Docs Tests Coverage Compat Format
UrbanCanopy.jl Docs Tests Coverage Compat Format
Vegetation.jl Docs Tests Coverage Compat Format
WildlandFire.jl Docs Tests Coverage Compat Format
GeoDynamics.jl Docs Tests Coverage Compat Format

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Contributors

Contributors

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  1. EarthSciMLBase.jl EarthSciMLBase.jl Public

    Basic functionality for EarthSciML system

    Julia 5 2

  2. GasChem.jl GasChem.jl Public

    Models of gas-phase atmospheric chemistry and related processes

    Julia 6 6

  3. EarthSciData.jl EarthSciData.jl Public

    External data loaders for use with the EarthSciML ecosystem

    Julia 2 4

  4. AtmosphericDeposition.jl AtmosphericDeposition.jl Public

    Models of atmospheric deposition using ModelingToolkit.jl

    Julia 3 6

  5. Aerosol.jl Aerosol.jl Public

    Models of aerosol chemistry and physics using ModelingToolkit.jl

    Julia 5 6

  6. EnvironmentalTransport.jl EnvironmentalTransport.jl Public

    Algorithms for the transport of mass and energy in the environment

    Julia 2 4

Repositories

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