Derivative-free nonlinear global optimizer with python interface
-
Updated
Nov 11, 2019 - C++
Derivative-free nonlinear global optimizer with python interface
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
What do you Mean? The Role of the Mean Function in Bayesian Optimisation
Benchmark library for Bayesian optimisation algorithms
ϵ-shotgun: ϵ-greedy Batch Bayesian Optimisation
Bayesian Active Learning for Optimization and Uncertainty Quantification with Applications to Protein Docking
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation
Sequential Gallery for Interactive Visual Design Optimization [SIGGRAPH 2020]
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
Supplemental Scripts to accompany the manuscript titled 'Autonomous Electron Tomography Reconstruction with Machine Learning'
Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
Add a description, image, and links to the bayesian-optimization topic page so that developers can more easily learn about it.
To associate your repository with the bayesian-optimization topic, visit your repo's landing page and select "manage topics."