JOSS Papers: Gaussian Processes

All Papers
2518
 Published Papers
2244
 Active Papers
274
published Published 5 months ago

SigCorr: A Python package for studies of trials factors

Jupyter Notebook Python
@vindex10
10.21105/joss.04989
published Published 12 months ago

PyNM: a Lightweight Python implementation of Normative Modeling

Python Jupyter Notebook
@harveyaa
10.21105/joss.04321
published Published about 1 year ago

egobox, a Rust toolbox for efficient global optimization

Rust Python
@relf
10.21105/joss.04737
published Published over 1 year ago

GPJax: A Gaussian Process Framework in JAX

Python
@thomaspinder
10.21105/joss.04455
published Published over 1 year ago

tesliper: a theoretical spectroscopist's little helper

Python
@mishioo
10.21105/joss.04164
published Published over 1 year ago

RandomForestsGLS: An R package for Random Forests for dependent data

R C++ C
@ArkajyotiSaha
10.21105/joss.03780
published Published over 2 years ago

starry_process: Interpretable Gaussian processes for stellar light curves

Python C++ C
@rodluger
10.21105/joss.03071
published Published almost 3 years ago

GeoBO: Python package for Multi-Objective Bayesian Optimisation and Joint Inversion in Geosciences

Python
@sebhaan
10.21105/joss.02690
published Published almost 5 years ago

HODLRlib: A Library for Hierarchical Matrices

C++ Python
@sivaramambikasaran
10.21105/joss.01167
published Published over 5 years ago

Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization

C++ Python
@aneoshun
10.21105/joss.00545
Displaying 10 papers

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ISSN 2475-9066