JOSS Papers: Gaussian Processes

All Papers
3018
 Published Papers
2700
 Active Papers
318
published Published 4 months ago

Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference

Python
@Edenhofer
10.21105/joss.06593
published Published 7 months ago

GPCERF - An R package for implementing Gaussian processes for estimating causal exposure response curves

R C++
@naeemkh
10.21105/joss.05465
published Published 8 months ago

PyBADS: Fast and robust black-box optimization in Python

Python
@GurjeetSinghSangra
10.21105/joss.05694
published Published 10 months ago

parafields: A generator for distributed, stationary Gaussian processes

Python C++ Jupyter Notebook
@dokempf
10.21105/joss.05735
published Published over 1 year ago

SigCorr: A Python package for studies of trials factors

Jupyter Notebook Python
@vindex10
10.21105/joss.04989
published Published almost 2 years ago

PyNM: a Lightweight Python implementation of Normative Modeling

Python Jupyter Notebook
@harveyaa
10.21105/joss.04321
published Published about 2 years ago

egobox, a Rust toolbox for efficient global optimization

Rust Python
@relf
10.21105/joss.04737
published Published about 2 years ago

GPJax: A Gaussian Process Framework in JAX

Python
@thomaspinder
10.21105/joss.04455
published Published over 2 years ago

tesliper: a theoretical spectroscopist's little helper

Python
@mishioo
10.21105/joss.04164
published Published over 2 years ago

RandomForestsGLS: An R package for Random Forests for dependent data

R C++ C
@ArkajyotiSaha
10.21105/joss.03780
Displaying papers 1 - 10 of 14 in total

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ISSN 2475-9066