Toolboxes & Code Repositories
Trieste
Library for Bayesian optimization and active learning
Description:
A Tensorflow library (successor to GPFlowOpt) with the latest Bayesian optimization strategies. Bayesian optimization can be used for efficient hyperparameter tuning (AutoML), smart labeling of expensive data, data-efficient engineering design, and much more.
More Information:
Originates from the AI-Driven Data Science research challenge (FAIR 2019–2023).
Responsible Research Lead: Tom Dhaene
Authors: Jixiang Qi,Nasrulloh Loka, Ivo Couckuyt
Programming Language: Python
Categories: Optimization, Active learning