GitHub / 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.

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Commit Stats

Commits: 2374
Authors: 63
Mean commits per author: 37.68
Development Distribution Score: 0.525
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/SciML/SciMLSensitivity.jl

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

Funding links: https://github.com/sponsors/SciML

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