Provides a specialized framework for Bayesian Global Optimization based on recent scientific literature. Facilitates efficient parameter search and experimental design in complex scientific modeling and material science environments.
Tech Stack
Jupyter NotebookMathematics & Statistics
Why Bgolearn?
• Academic-grade algorithms
• Efficient sample usage
• Python-native integration
Limitations
• Niche application
• Requires math background
• Limited documentation
3/1/2026
Last Update
18
Forks
0
Issues
MIT
License
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