Projects in Awesome Lists tagged with gaussian-process-regression
A curated list of projects in awesome lists tagged with gaussian-process-regression .
https://github.com/alonfnt/bayex
Minimal Implementation of Bayesian Optimization in JAX
automatic-differentiation bayesian-optimization gaussian-process-regression jax python
Last synced: 05 Apr 2025
https://github.com/swyoon/pytorch-minimal-gaussian-process
A minimal implementation of Gaussian process regression in PyTorch
gaussian-process gaussian-process-regression gaussian-processes pytorch
Last synced: 27 Apr 2025
https://github.com/mmottl/gpr
Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.
gaussian-process-regression gaussian-processes machine-learning ocaml regression
Last synced: 22 Apr 2025
https://github.com/robinthibaut/skbel
SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
bayesian-inference gaussian-process gaussian-process-regression gaussian-processes geology groundwater hydrogeology machine-learning multiple-output-regression multivariate-regression pfa sklearn
Last synced: 12 Apr 2025
https://github.com/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.
calibration depth-maps gaussian-process-regression gaussian-processes rgbd tensorflow
Last synced: 19 Jun 2025
https://github.com/omerwe/MKLMM
Multi Kernel Linear Mixed Models for Complex Phenotype Prediction
gaussian-process-regression gaussian-processes gwas kernel-methods machine-learning polygenic-risk-scores polygenic-scores statistical-genetics
Last synced: 24 Mar 2025
https://github.com/andreacasalino/gaussianprocesses
Modern C++ library handling gaussian processes
cpp cpp17 eigen gaussian gaussian-distribution gaussian-process-regression gaussian-processes hyperparameter-optimization hyperparameters training
Last synced: 13 Apr 2025
https://github.com/woctezuma/regression
Gaussian Process Regression vs. Relevance Vector Machine.
data-analysis data-science gaussian-process-regression machine-learning python regression relevance-vector-machine statistics
Last synced: 06 Dec 2024
https://github.com/andrewwango/gpr-mcmc
Gaussian Process Regression (GPR) with non-Gaussian likelihoods using robust infinite-dimension Monte Carlo Markov Chain (MCMC) sampling for spatial inference problems
gaussian-process-regression gaussian-processes mcmc monte-carlo-markov-chain preconditioned-crank-nicholson spatial-interpolation spatial-regression
Last synced: 28 Mar 2025
https://github.com/aybchan/gaussianprocess
interactive gaussian process modelling with d3.js
bayesian-statistics d3 d3js data-visualization gaussian-process-regression gaussian-processes
Last synced: 01 Mar 2025
https://github.com/jfagin/latent_sde
Code for "Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties"
agn deep-learning differential-equations dynamical-systems gaussian-process-regression neural-differential-equation neural-network pytorch stochastic-differential-equations stochastic-processes stochastic-vo
Last synced: 12 Apr 2025
https://github.com/jbris/aws-ray-cluster
Testing deployment of a Ray cluster on AWS
aws aws-ec2 cloudwatch gaussian-process-regression gaussian-processes gpytorch ray-cluster ray-core ray-docker ray-ml ray-module ray-remote raylib s3
Last synced: 30 Apr 2025
https://github.com/neelsoumya/gaussian_process_tutorial
Tutorial and examples for Gaussian processes
gaussian-process-regression gaussian-processes
Last synced: 25 Feb 2025
https://github.com/himanshuvnm/generalized-gaussian-radial-basis-function-in-artificial-intelligence-matlab
This is the recent work of my on the importance and application of mathematical function around its Hilbert function theory on artificial intelligence algorithms. The main motivation was the desire of improving the convergence rate and learning rate of various learning algorithms via Generalized Gaussian Radial Basis Function.
activation-functions artificial-intelligence deep-learning deep-neural-networks gaussian-process-regression image-recognition kernel-regression machine-learning-algorithms neural-network reproducing-kernel-hilbert-space support-vector-machine
Last synced: 14 May 2025
https://github.com/msikorski93/abalone-dataset
Estimating abalone rings (age) based on their physical characteristics, such as gender, length, height, diameter, weight, etc.
abalone-dataset catboost-regressor classification eda gaussian-process-regression multilayer-perceptron regression tensorflow
Last synced: 03 Apr 2025
