A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
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Updated
Feb 4, 2020 - C++
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
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Sequential Gallery for Interactive Visual Design Optimization [SIGGRAPH 2020]
Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables
Bayesian Active Learning for Optimization and Uncertainty Quantification with Applications to Protein Docking
Derivative-free nonlinear global optimizer with python interface
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation
ϵ-shotgun: ϵ-greedy Batch Bayesian Optimisation
What do you Mean? The Role of the Mean Function in Bayesian Optimisation
Benchmark library for Bayesian optimisation algorithms
Supplemental Scripts to accompany the manuscript titled 'Autonomous Electron Tomography Reconstruction with Machine Learning'
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