Sequential model-based optimization with a `scipy.optimize` interface

A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.

A fully Bayesian implementation of sequential model-based optimization

🎯 📈 Sequential And Model-Based Optimization with SCE-UA, SMBO, and SHGO algos. No deps—SOTA perfomance.

Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access

How Bayesian should Bayesian Optimisation be?

Potential Height Python packages: runs the experiments for "Finding the potential height of tropical cyclone storm surges in a changing climate using Bayesian optimization"

Optimization Of Extended Red Blood Cell Matching In Transfusion Dependent Sickle Cell Patients

🔍 Optimize your machine learning models with efficient hyperparameter tuning using scikit-opt. Simple, effective, and ready for your next project.