GitHub / Bin-Cao / Bgolearn
[Materials & Design 2024 | NPJ com mat 2024] A Bayesian global optimization package for material design ｜ Adaptive Learning | Active Learning
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Bin-Cao%2FBgolearn
PURL: pkg:github/Bin-Cao/Bgolearn
Stars: 94
Forks: 15
Open issues: 1
License: mit
Language: Jupyter Notebook
Size: 420 MB
Dependencies parsed at: Pending
Created at: about 3 years ago
Updated at: 2 days ago
Pushed at: 2 days ago
Last synced at: 2 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