Fast and flexible Gaussian Process regression in Python
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Updated
Jun 24, 2024 - C++
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)
Learning-aided 3D mapping
Combining tree-boosting with Gaussian process and mixed effects models
Scalable 1D Gaussian Processes in C++, Python, and Julia
Exoplanet detection in RVs with DNest4 and GPs
Simple C++ library for Gaussian process regression
Learning for Task and Motion Planning (LTAMP)
A framework for statistical modelling in C++.
C++ Gaussian Process Library
Spatial Statistic with Kriging
Spatial Multivariate Trees for Big Data Bayesian Regression
Modern C++ library handling gaussian processes
🎶 A collection of études on probabilistic models.
Implementation of a Gaussian process regression for motion prediction in target-tracking scenarios (currently under development). Based on C++ used within ROS environment.
Multi-Output Infinite Horizon Gaussian Process
SIA - C++/Python library for model-based stochastic estimation and optimal control
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