SciML/DiffEqFlux.jl

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DiffEqFlux.jl DiffEqFlux.jl fuses the world of differential equations with machine learning by helping users put diffeq solvers into neural networks. This package utilizes DifferentialEquations.jl, Flux.jl and Lux.jl as its building blocks to support research in Scientific Machine Learning, specifically neural differential equations and universal differential equations, to add physical information into traditional machine learning. Tutorials and Documentation For information on using the package, see...