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Pykrige ⭐ 670

Kriging Toolkit for Python

The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior.

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

Kriging.jl ⭐ 11

Gaussian process regression

Gaupromod ⭐ 7

Software package for Gaussian Process (GP) modelling written in R language. The core functions are coded in C++ and based on the EIGEN library (through RcppEigen).

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