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juliahub.com : DiffEqSensitivity
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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purl: pkg:julia/DiffEqSensitivity
Keywords: scientific-machine-learning, differentialequations, sensitivity-analysis, neural-ode, adjoint, backpropogation, neural-sde, ode, sde, dae, dde, sciml, hacktoberfest, differential-equations
License: MIT
Latest release: over 1 year ago
First release: over 1 year ago
Dependent packages: 13
Dependent repositories: 2
Stars: 305 on GitHub
Forks: 66 on GitHub
Total Commits: 2337
Committers: 63
Average commits per author: 37.095
Development Distribution Score (DDS): 0.525
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/SciML
Last synced: 28 days ago