Popular GitHub Repositories for Surrogate Based Optimization

Surrogate modeling and optimization for scientific machine learning (SciML)

Benchmark suite for active learning (with surrogate models) in scientific discovery, featuring standardised tasks in materials science and biology ??

SKSurrogate is a suite of tools that implements surrogate optimization for expensive functions based on scikit-learn. The main purpose of SKSurrogate is to facilitate hyperparameter optimization for machine learning models and optimized pipeline design (AutoML).