Skip to content

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.

License

Notifications You must be signed in to change notification settings

SciML/SciMLSensitivity.jl

Folders and files

NameName
Last commit message
Last commit date

Latest commit

8331f34 · Jan 6, 2023
Dec 19, 2022
Nov 19, 2022
Dec 24, 2022
Jan 5, 2023
Jan 5, 2023
Jun 26, 2022
Nov 2, 2016
Apr 26, 2019
Sep 12, 2021
Jun 25, 2022
Jan 6, 2023
Oct 27, 2022

Repository files navigation

About

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.

Topics

Resources

License

Code of conduct

Security policy

Citation

Stars

Watchers

Forks

Packages

No packages published

Languages