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juliahub.com : MultiScaleArrays
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
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purl: pkg:julia/MultiScaleArrays
Keywords: dde, hybrid-differential-equations, neural-ode, julia, neural-differential-equations, scientific-ml, scientific-ai, sciml, scientific-machine-learning, automatic-differentiation, multiscale, differentialequations, models, differential-equations, ode, sde, dae
License: MIT
Latest release: 5 months ago
First release: almost 6 years ago
Dependent packages: 2
Dependent repositories: 2
Stars: 70 on GitHub
Forks: 16 on GitHub
Total Commits: 237
Committers: 24
Average commits per author: 9.875
Development Distribution Score (DDS): 0.793
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/SciML
Last synced: 2 days ago
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