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A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

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SciML/SciMLSensitivity.jl

Join the chat at https://julialang.zulipchat.com #sciml-bridgedGlobal Docs

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ColPrac: Contributor's Guide on Collaborative Practices for Community PackagesSciML Code Style

SciMLSensitivity.jl is a component package in theSciML Scientific Machine Learning ecosystem.It holds the sensitivity analysis utilities. Users interested in using thisfunctionality should check outDifferentialEquations.jl.

Tutorials and Documentation

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

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A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

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