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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: 99
Forks: 24
Open Issues: 16
License: mit
Language: Julia
Repo Size: 3.28 MB
Dependencies:
0
Created: over 4 years ago
Updated: 4 days ago
Last pushed: 7 days ago
Last synced: about 6 hours ago
Commit Stats
Commits: 211
Authors: 29
Mean commits per author: 7.28
Development Distribution Score: 0.682
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
Files
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