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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.
Julia386 stars84 forks
adjointbackpropogationdaeddedifferential-equationsdifferentialequationshacktoberfestneural-odeneural-sdeodescientific-machine-learningscimlsdesensitivity-analysis
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