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GitHub / Bin-Cao / Bgolearn
A Bayesian global optimization package for material design ｜ Adaptive Learning | Active Learning
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Bin-Cao%2FBgolearn
Stars: 80
Forks: 14
Open Issues: 1
License: mit
Language: Jupyter Notebook
Repo Size: 415 MB
Dependencies:
0
Created: almost 2 years ago
Updated: 12 days ago
Last pushed: 12 days ago
Last synced: 12 days ago
Commit Stats
Commits: 78
Authors: 1
Mean commits per author: 78.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/Bin-Cao/Bgolearn
Topics: active-learning, adaptive-learning, augmented-expected-improvement, bayesian-global-optimization, bgolearn, entropy-based-approach, expected-improvement, knowledge-gradient, least-confidence, margin-sampling, material-design, materials, materials-informatics, materials-science, mlmd, opportunity-cost, predictive-entropy-search, probability-of-improvement, trail-path, upper-confidence-bound
Funding links: https://github.com/Bin-Cao/Bin-Cao/assets/86995074/4e33b313-1d74-4b53-ad02-795ba68854b9
Files
No dependencies found