PyBADS: Fast and robust black-box optimization in Python
This upload archives the v1.0.4 release of PyBADS, as prepared for submission to the Jounral of Open Source Software (JOSS). PyBADS is a Python implementation of the Bayesian Adaptive Direct Search (BADS) algorithm for solving difficult and mildly expensive optimization problems. BADS has been intensively tested for fitting a variety of computational models, and is currently being used in many computational labs around the world.