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gaussian-process

Here are 21 public repositories matching this topic...

SMAC3

automl / SMAC3

Sequential Model-based Algorithm Configuration

random-forest configuration hyperparameter-optimization bayesian-optimization hyperparameter-tuning automl automated-machine-learning hyperparameter-search bayesian-optimisation gaussian-process algorithm-configuration

Updated Apr 28, 2022
Python

stefanch / sGDML

sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model

machine-learning molecular-dynamics quantum-chemistry gaussian-process molecular-force-fields

Updated Mar 2, 2022
Python

swyoon / pytorch-minimal-gaussian-process

A minimal implementation of Gaussian process regression in PyTorch

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

Updated Jan 1, 2022
Jupyter Notebook

ma-compbio / Phylo-HMRF

machine-learning comparative-genomics 3d-genome gaussian-process

Updated Nov 9, 2020
Python

ntienvu / MiniBO

Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization

bayesian-optimization gaussian-process

Updated Dec 10, 2021
Jupyter Notebook

awav / interactive-gp

Interactive Gaussian Processes

tensorflow bokeh gp gpflow gaussian-process

Updated Jul 19, 2019
Jupyter Notebook

Alaya-in-Matrix / NeuralLinear

Multi-output Gaussian process regression via multi-task neural network

neural-networks gaussian-process

Updated Dec 3, 2019
Python

skbel

robinthibaut / skbel

Sponsor

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

Updated Apr 21, 2022
Python

MB-29 / neural-Gaussian-process

A NumPy implementation of Lee et al., Deep Neural Networks as Gaussian Processes, 2018

deep-learning neural-network numpy regression bayesian-inference prior lee google-brain gaussian-process neurips neurips-2018 infinite-width

Updated Mar 24, 2021
Python

ma-compbio / Phylo-HMGP

machine-learning comparative-genomics gaussian-process genome-function

Updated Nov 9, 2020
Python

alspitz / issgpr

Incremental Sparse Spectrum Gaussian Process Regression

machine-learning linear-regression regression fourier-features gaussian-process model-learning random-fourier-features incremental-regression random-fourier

Updated Apr 24, 2021
C++

jhadida / gpso

Gaussian-Process Surrogate Optimisation

matlab bayesian-optimization optimisation space-partitioning gaussian-process

Updated Aug 29, 2019
MATLAB

RuwangJiao / CEI

A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization

constrained-optimization surrogate expected-improvement gaussian-process expensive-optimization

Updated Mar 15, 2022
MATLAB

Albertsr / Optimization

Hyper-Parameter Tuning / BayesianOptimization / Gaussian Process / etc.

optimization gaussian-process bayesianoptimization

Updated Oct 8, 2020
Python

BujuNB / Gaussian-Processes

Normal Gaussian Process and Gaussian Process with Poisson Likelihood

tensorflow gaussian-process gaussian-process-poisson

Updated May 30, 2018
Jupyter Notebook

stanbiryukov / apollo

Highly performant and scalable out-of-the-box gaussian process regression and Bernoulli classification. Built upon GPyTorch, with a familiar sklearn api.

machine-learning scikit-learn sklearn regression pytorch gaussian-processes kriging gaussian-process gpytorch

Updated Aug 19, 2021
Python

marcelcases / calibration-sensors-machine-learning

Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms

deep-learning neural-network random-forest tensorflow sklearn kernel-regression support-vector-regression k-nearest-neighbor multiple-linear-regression gaussian-process

Updated Apr 18, 2022
Python

mohammadmozafari / stochastic-processes

Programming assignments and final project of stochastic processes course

hypothesis-testing poisson-process hidden-markov-models estimation-theory gaussian-process

Updated Feb 6, 2022
Jupyter Notebook

stephensrmmartin / omegad

R Package for modeling omega-reliability coefficient from exogenous or latent space using Gaussian Processes or linear models.

statistics bayesian stan psychometrics gaussian-process

Updated May 19, 2021
R

jacobnzw / SSMToybox_old

Sigma-Point Filters based on Bayesian Quadrature

kalman-filtering gaussian-process nonlinear-filtering bayesian-quadrature moment-transform

Updated Mar 29, 2018
Python

jkbren / ps-gpucbpe

Adaptive experimental design for maximizing information gain

information-gain gaussian-process optimal-experimental-design

Updated Jul 20, 2019
R

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