JOSS Papers: Bayesian optimization

All Papers
4112
 Published Papers
3745
 Active Papers
367
published Published 17 days ago

qPOTS: A Python Package for Sample-efficient Batch Constrained Multiobjective Bayesian Optimization

Python
@r-ashwin
10.21105/joss.10867
published Published about 1 month ago

OpenTURNS: A Python package for uncertainty quantification

C++ NSIS
@mbaudin47
10.21105/joss.10484
published Published 4 months ago

Numerics: A .NET Library for Numerical Computing, Statistical Analysis, and Risk Assessment

C#
@HadenSmith
10.21105/joss.10540
published Published 11 months ago

OPTIMEO: Bayesian Optimization Web App for Process Tuning, Modeling, and Orchestration

Python Jupyter Notebook
@colinbousige
10.21105/joss.08510
published Published over 1 year ago

hetGPy: Heteroskedastic Gaussian Process Modeling in Python

Python C++ Jupyter Notebook R
@davidogara
10.21105/joss.07518
published Published over 2 years ago

Kirstine.jl: A Julia Package for Bayesian Optimal Design of Experiments

Julia
@lsandig
10.21105/joss.06424
published Published over 2 years ago

CalibrateEmulateSample.jl: Accelerated Parametric Uncertainty Quantification

Julia
@odunbar
10.21105/joss.06372
published Published over 2 years ago

PyBADS: Fast and robust black-box optimization in Python

Python
@GurjeetSinghSangra
10.21105/joss.05694
published Published almost 3 years ago

BayesO: A Bayesian optimization framework in Python

Python
@jungtaekkim
10.21105/joss.05320
published Published about 3 years ago

SBArchOpt: Surrogate-Based Architecture Optimization

Python
@jbussemaker
10.21105/joss.05564
Displaying papers 1 - 10 of 16 in total

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ISSN 2475-9066