#
model-based-optimization
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Toolbox for Bayesian Optimization and Model-Based Optimization in R
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
Updated
Nov 16, 2023
Python
Flexible Bayesian Optimization in R
Official code for paper: Conservative objective models are a special kind of contrastive divergence-based energy model
Updated
Aug 15, 2023
Jupyter Notebook
📰 Must-read papers on Offline Model-based Optimization 🔥
Contains all relevant data of the 2023 GDP-Fucose paper.
Updated
Jun 28, 2024
Component Pascal
A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).
Updated
Sep 22, 2019
MATLAB
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