BayesO
BayesO: A Bayesian optimization framework in Python - Published in JOSS (2023)
piglot
piglot: an Open-source Package for Derivative-free Optimisation of Numerical Responses - Published in JOSS (2024)
smac
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
metasklearn
MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.
syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
optimeo
OPTIMEO is a package doubled by a web application that helps you optimize your experimental process by generating a Design of Experiment, generating new experiments using Bayesian Optimization (BO), and analyzing the results of your experiments using Machine Learning models.
calisim
A toolbox for the calibration and evaluation of simulation models.
epbo
Implementation code for the paper "Bayesian Optimization via Exact Penalty"
priorelicitation
Shiny application for prior elicitation experiments from "Probabilistic elicitation of expert knowledge through assessment of computer simulations"
bayesian-optimization
An introduction to Bayesian optimization with an example of accelerator tuning task.
head
Supporting code for the "Autonomous retrosynthesis of gold nanoparticles via spectral shape matching" paper. DOI : 10.1039/D2DD00025C
bayesian-optimization-1d-csnn
Source code of the paper entitled "Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks through Bayesian Optimization", and presented at EPIA 2024, the 23rd International Conference on Artificial Intelligence.