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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: 5 days 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: 2024-10-25T04:24:52.186Z (11 days ago)
- Topics: bayesian-optimization, log-likelihood, matlab, noiseless-functions, noisy-functions, optimization-algorithms
- Language: MATLAB
- Homepage:
- Size: 4.42 MB
- Stars: 246
- Watchers: 15
- Forks: 38
- Open Issues: 3
Awesome Lists containing this project
- 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)