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Bayesian Adaptive Direct Search (BADS)

BADS is a fast Bayesian optimization algorithm designed to solve difficult optimization problems, in particular related to fitting computational models (e.g., via maximum likelihood estimation).

>>> The official repository for BADS has moved to my lab's GitHub page: https://github.com/acerbilab/bads