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experimental-design x

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A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

A Bayesian Back End for Design of Experiments

Olympus: a benchmarking framework for noisy optimization and experiment planning

Awesome Experimental Standards Deep Learning ⭐ 24

Repository collecting resources and best practices to improve experimental rigour in deep learning research.

Bayesian optimization with prescreening of search space via supervised outlier detection

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