JOSS Papers: Gaussian Processes

All Papers
3195
 Published Papers
2863
 Active Papers
332
published Published 1 day ago

hetGPy: Heteroskedastic Gaussian Process Modeling in Python

Python C++ Jupyter Notebook R
@davidogara
10.21105/joss.07518
published Published 8 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 11 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 11 months ago

PyBADS: Fast and robust black-box optimization in Python

Python
@GurjeetSinghSangra
10.21105/joss.05694
published Published about 1 year 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 about 2 years ago

PyNM: a Lightweight Python implementation of Normative Modeling

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

egobox, a Rust toolbox for efficient global optimization

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

GPJax: A Gaussian Process Framework in JAX

Python
@thomaspinder
10.21105/joss.04455
published Published almost 3 years ago

tesliper: a theoretical spectroscopist's little helper

Python
@mishioo
10.21105/joss.04164
Displaying papers 1 - 10 of 15 in total

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ISSN 2475-9066