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juliahub.com : SurrogatesAbstractGPs
Surrogate modeling and optimization for scientific machine learning (SciML)
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purl: pkg:julia/SurrogatesAbstractGPs
Keywords: high-performance-computing, automatic-differentiation, optimization, julia, surrogates, surrogate-based-optimization, surrogate-models, sciml, scientific-machine-learning, differential-equations, surrogate
License: MIT
Latest release: almost 5 years ago
First release: almost 5 years ago
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: 2 days ago