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https://github.com/acerbilab/vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
https://github.com/acerbilab/vbmc
bayesian-inference data-analysis gaussian-processes machine-learning matlab variational-inference
Last synced: about 1 month ago
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Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
- Host: GitHub
- URL: https://github.com/acerbilab/vbmc
- Owner: acerbilab
- License: bsd-3-clause
- Created: 2018-05-04T18:56:56.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-05-03T11:17:08.000Z (over 1 year ago)
- Last Synced: 2024-06-02T05:33:53.186Z (3 months ago)
- Topics: bayesian-inference, data-analysis, gaussian-processes, machine-learning, matlab, variational-inference
- Language: MATLAB
- Homepage:
- Size: 24.6 MB
- Stars: 213
- Watchers: 12
- Forks: 38
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-computational-neuroscience - Variational Bayesian Monte Carlo - VBMC is an approximate inference method designed to fit and evaluate computational models with a limited budget of potentially noisy likelihood evaluations. (Package / Machine Learning)