Combining tree-boosting with Gaussian process and mixed effects models

Fast and flexible Gaussian Process regression in Python

Gaussian Process Motion Planner 2

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)

Scalable 1D Gaussian Processes in C++, Python, and Julia

Sparse Gaussian Processes for SLAM

Learning-aided 3D mapping

Learning for Task and Motion Planning (LTAMP)

A framework for statistical modelling in C++.

SIA - C++/Python library for model-based stochastic estimation and optimal control

Exoplanet detection in RVs with DNest4 and GPs

Modern C++ library handling gaussian processes

C++ Gaussian Process Library

Implementation of a Gaussian process regression for motion prediction in target-tracking scenarios (currently under development). Based on C++ used within ROS environment.

🎶 A collection of études on probabilistic models.

Simple C++ library for Gaussian process regression

implementation of continuous space topic model for modeling text through gaussian processes

Bayesian spatial regression with Meshed Gaussian Process

Spatial Multivariate Trees for Big Data Bayesian Regression