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https://github.com/acerbilab/bads

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
https://github.com/acerbilab/bads

bayesian-optimization log-likelihood matlab noiseless-functions noisy-functions optimization-algorithms

Last synced: about 1 month ago
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Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

Host: GitHub
URL: https://github.com/acerbilab/bads
Owner: acerbilab
License: gpl-3.0
Created: 2017-03-14T11:41:57.000Z (over 7 years ago)
Default Branch: master
Last Pushed: 2022-11-14T15:25:20.000Z (almost 2 years ago)
Last Synced: 2024-06-04T14:38:16.784Z (3 months ago)
Topics: bayesian-optimization, log-likelihood, matlab, noiseless-functions, noisy-functions, optimization-algorithms
Language: MATLAB
Homepage:
Size: 4.42 MB
Stars: 237
Watchers: 15
Forks: 37
Open Issues: 3

awesome-computational-neuroscience - BADS - BADS is a fast hybrid Bayesian optimization algorithm designed to solve difficult optimization problems, in particular related to fitting computational models (Package / Machine Learning)