mikediessner/nubo
NUBO is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions developed by the Fluid Dynamics Lab at Newcastle University.
NUBO helps researchers efficiently find the best settings for their expensive experiments or computer simulations, especially when it's costly or time-consuming to run many trials. You provide your experiment or simulation, and NUBO intelligently suggests new configurations to test, leading to optimized results faster. It's designed for scientists and engineers across various disciplines who need to optimize complex systems.
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Use this if you are a researcher needing to optimize the performance or outcome of a costly physical experiment or a time-intensive computer simulation by efficiently exploring different input parameters.
Not ideal if your optimization problem involves inexpensive functions that can be evaluated thousands or millions of times without significant cost or time.
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Language
Python
License
BSD-3-Clause
Category
Last pushed
Sep 11, 2025
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