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GitHub / SciML / MultiScaleArrays.jl

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SciML%2FMultiScaleArrays.jl

Stars: 70
Forks: 16
Open Issues: 8

License: other
Language: Julia
Repo Size: 697 KB
Dependencies: 19

Created: over 7 years ago
Updated: about 2 months ago
Last pushed: about 2 months ago
Last synced: about 1 month ago

Commit Stats

Commits: 237
Authors: 24
Mean commits per author: 9.88
Development Distribution Score: 0.793
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/SciML/MultiScaleArrays.jl

Topics: automatic-differentiation, dae, dde, differential-equations, differentialequations, hybrid-differential-equations, julia, models, multiscale, neural-differential-equations, neural-ode, ode, scientific-ai, scientific-machine-learning, scientific-ml, sciml, sde

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

Files
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    Dependencies
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