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Top 6.4% dependent packages on juliahub.com
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juliahub.com : QuasiMonteCarlo
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)
Registry
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Source
- Homepage
- Documentation
- JSON
purl: pkg:julia/QuasiMonteCarlo
Keywords: physics-informed-learning, julia, parameter-estimation, quasi-monte-carlo, scientific-machine-learning, sciml
License: MIT
Latest release: 6 months ago
First release: over 4 years ago
Dependent packages: 14
Stars: 97 on GitHub
Forks: 24 on GitHub
Total Commits: 211
Committers: 29
Average commits per author: 7.276
Development Distribution Score (DDS): 0.682
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/SciML
Last synced: about 1 hour ago