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GitHub / SciML / QuasiMonteCarlo.jl

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

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

Stars: 97
Forks: 24
Open Issues: 16

License: mit
Language: Julia
Repo Size: 3.18 MB
Dependencies: 31

Created: over 4 years ago
Updated: 13 days ago
Last pushed: 7 days ago
Last synced: 1 day ago

Commit Stats

Commits: 206
Authors: 28
Mean commits per author: 7.36
Development Distribution Score: 0.675
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/SciML/QuasiMonteCarlo.jl

Topics: julia, parameter-estimation, physics-informed-learning, quasi-monte-carlo, scientific-machine-learning, sciml

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

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    Dependencies
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