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gaussian-process-regression

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RobustFieldAutonomyLab /la3dm

Learning-aided 3D mapping

mapping dataset catkin gaussian-processes octomap occupancy-prediction gaussian-process-regression gaussian-process-occupancy-maps occupancy-mapping

UpdatedNov 24, 2023
C++

bayex

alonfnt /bayex

Minimal Implementation of Bayesian Optimization in JAX

python automatic-differentiation bayesian-optimization gaussian-process-regression jax

UpdatedApr 24, 2025
Python

swyoon /pytorch-minimal-gaussian-process

A minimal implementation of Gaussian process regression in PyTorch

pytorch gaussian-processes gaussian-process-regression gaussian-process

UpdatedJan 8, 2023
Jupyter Notebook

mmottl /gpr

Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.

machine-learning ocaml regression gaussian-processes gaussian-process-regression

UpdatedJan 19, 2025
OCaml

MasashiSode /MOBO

constrained/unconstrained multi-objective bayesian optimization package.

genetic-algorithm global-optimization multi-objective-optimization gaussian-processes bayesian-optimization multiobjective-optimization gaussian-process-regression surrogate-model-based-optimization

UpdatedOct 18, 2022
Python

stk-kriging /stk

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.

machine-learning gaussian-processes geostatistics kriging gaussian-process-regression gaussian-process-optimisation computer-experiment-design

UpdatedOct 29, 2024
MATLAB

ShuaiGuo16 /Surrogate_Optimization

A step-by-step guide for surrogate optimization using Gaussian Process surrogate model

optimization gaussian-process-regression surrogate-models surrogate-optimization

UpdatedDec 17, 2020
Jupyter Notebook

skbel

robinthibaut /skbel

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

machine-learning sklearn bayesian-inference geology gaussian-processes groundwater pfa multivariate-regression hydrogeology gaussian-process-regression gaussian-process multiple-output-regression

UpdatedJul 9, 2024
Python

linesd /SSGPR

Sparse Spectrum Gaussian Process Regression

machine-learning optimization minimization regression prediction predictive-modeling conjugate-gradient regression-models gaussian-processes minimize regression-algorithms gaussian-process-regression ssgpr sparse-spectrum-gaussian-processes sparse-spectrum-gaussian-process

UpdatedFeb 26, 2020
Python

vijayvarma392 /surfinBH

Surrogate Final BH properties

physics gravitational-waves blackholes gaussian-process-regression

UpdatedMar 14, 2025
Python

anassinator /gp

Differentiable Gaussian Process implementation for PyTorch

machine-learning pytorch artificial-intelligence gaussian-processes auto-differentiation gaussian-process-regression

UpdatedJul 8, 2018
Python

andreacasalino /GaussianProcesses

Modern C++ library handling gaussian processes

training cpp eigen hyperparameters gaussian hyperparameter-optimization cpp17 gaussian-processes gaussian-distribution gaussian-process-regression

UpdatedDec 7, 2022
C++

cheind /rgbd-correction

Code and data accompanying our work on spatio-thermal depth correction of RGB-D sensors based on Gaussian Process Regression in real-time.

tensorflow calibration depth-maps gaussian-processes rgbd gaussian-process-regression

UpdatedJul 13, 2022
Python

jaburke166 /gaussian_process_edge_trace

Python module providing a framework to trace individual edges in an image using Gaussian process regression.

image-segmentation gaussian-process-regression image-processing-python contour-tracing

UpdatedSep 28, 2023
Jupyter Notebook

wgurecky /bipymc

Bayesian Inference. Parallel implementations of DREAM, DE-MC and DRAM.

python mpi inference bayesian bayesian-inference dram mcmc bayesian-optimization mpi4py mcmc-sampler dream gaussian-process-regression mcmc-sampling

UpdatedSep 8, 2020
Python

maka89 /noisy-gp

Gaussian Process Regression for training data with noisy inputs and/or outputs

machine-learning supervised-learning bayesian-inference gaussian-process-regression

UpdatedMar 22, 2017
Python

sgbaird-5DOF /interp

Interpolate grain boundary properties in a 5 degree-of-freedom sense via a novel distance metric.

machine-learning matlab nearest-neighbors voronoi-diagram voronoi materials-science materials-informatics gaussian-processes grain-boundary barycentric-coordinates inverse-distance-weighting gaussian-process-regression voronoi-tessellation grain-boundaries barycentric grain-boundary-energy grain-boundary-mobility barycentric-interpolation grain-boundary-octonion fundamental-zone

UpdatedMay 13, 2022
MATLAB

MaxenceGiraud /MachineLearningAlgos

Personal reimplementation of some ML algorithms for learning purposes

machine-learning reinforcement-learning deep-learning random-forest clustering svm naive-bayes machine-learning-algorithms regression convolution bayesian smo lda knn kernels decision-tree dbscan gaussian-process-regression bandit-algorithms qda

UpdatedJul 13, 2021
Python

gpyrn

iastro-pt /gpyrn

Modelling stellar activity signals with Gaussian process regression networks

gaussian-processes bayesian-statistics gaussian-process-regression

UpdatedDec 20, 2024
Python

omerwe /MKLMM

Multi Kernel Linear Mixed Models for Complex Phenotype Prediction

machine-learning gwas polygenic-risk-scores kernel-methods gaussian-processes statistical-genetics gaussian-process-regression polygenic-scores

UpdatedJul 6, 2022
Python

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