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juliahub.com : SurrogatesRandomForest
Surrogate modeling and optimization for scientific machine learning (SciML)
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purl: pkg:julia/SurrogatesRandomForest
Keywords: julia, differential-equations, automatic-differentiation, surrogate-based-optimization, surrogates, high-performance-computing, surrogate, optimization, sciml, surrogate-models, scientific-machine-learning
License: MIT
Latest release: over 4 years ago
First release: over 4 years ago
Dependent packages: 1
Stars: 300 on GitHub
Forks: 68 on GitHub
Total Commits: 806
Committers: 59
Average commits per author: 13.661
Development Distribution Score (DDS): 0.717
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/SciML
Last synced: 3 days ago