SciML/DiffEqCallbacks.jl

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

Juliajuliacallbackodeddedifferential-equationssdedaeneural-odescientific-machine-learningsciml
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DiffEqCallbacks.jl: Prebuilt Callbacks for extending the solvers of DifferentialEquations.jl DifferentialEquations.jl has an expressive callback system which allows for customizable transformations of the solver behavior. DiffEqCallbacks.jl is a library of pre-built callbacks which makes it easy to transform the solver into a domain-specific simulation tool. Tutorials and Documentation For information on using the package, see the stable documentation. Use the in-development documentation for the...
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