SciML / ModelingToolkitNeuralNets.jl

Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)

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ModelingToolkitNeuralNets

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ModelingToolkitNeuralNets.jl is a package to create neural network blocks defined similar to MTKStandardLibrary components, to use them for solving Universal Differential Equations. It can be plugged to any part of the equations in an ODESystem using RealInputArray and RealOutputArray components which gives a lot of flexibility to add the missing physics only to a part of the model.

Tutorials and Documentation

For information on using the package, see the stable documentation. Use the in-development documentation for the version of the documentation, which contains the unreleased features.

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Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)

License:MIT License


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