SciML / SciMLSensitivity.jl

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.

Date Created 2016-11-02 (7 years ago)

Commits 3,221 (last one a day ago)

Stargazers 320 (0 this week)

Watchers 19 (0 this week)

Forks 69

License other

Ranking

RepositoryStats indexes 534,551 repositories, of these SciML/SciMLSensitivity.jl is ranked #119,583 (78th percentile) for total stargazers, and #113,807 for total watchers. Github reports the primary language for this repository as Julia, for repositories using this language it is ranked #191/1,607.

SciML/SciMLSensitivity.jl is also tagged with popular topics, for these it's ranked: hacktoberfest (#4,842/14043)

Other Information

SciML/SciMLSensitivity.jl has 6 open pull requests on Github, 613 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 85 open issues and 217 closed issues.

There have been 224 releases, the latest one was published on 2024-06-28 (a day ago) with the name v7.62.0.

Homepage URL: https://docs.sciml.ai/SciMLSensitivity/stable/

All Topics

dae dde ode sde sciml adjoint neural-ode neural-sde hacktoberfest backpropogation sensitivity-analysis differentialequations differential-equations scientific-machine-learning

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1,629 commits on the default branch (master) since jan '22

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The only known language in this repository is Julia

updated: 2024-06-29 @ 05:55am, id: 72665210 / R_kgDOBFTIeg