JBris/zero-inflated-gaussian-processes

Latent gaussian processes for zero inflated count data.

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alonfnt/bayex

Minimal Implementation of Bayesian Optimization in JAX

Language: Python - Size: 227 KB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 92 - Forks: 3

saif8091/yield-multi

Code for table beets multistage yield prediction

Language: Python - Size: 650 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 2.33 MB - Last synced at: 9 days ago - Pushed at: almost 3 years ago - Stars: 17 - Forks: 5

Piras-S/OceanAnalysisProcess

This project models expected temperature drop across the ocean's cool skin layer behavior from meteorological inputs, then compares predictions to 2021 satellite data to identify anomalies. Includes uncertainty quantification and spatial-temporal analysis.

Language: Jupyter Notebook - Size: 954 KB - Last synced at: 18 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

darcamo/gpr_complex

A Gaussian Process Regression (GPR) library that can work with complex numbers.

Language: Python - Size: 140 KB - Last synced at: 12 days ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

vijayvarma392/surfinBH

Surrogate Final BH properties

Language: Python - Size: 3.09 MB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 23 - Forks: 13

andreacasalino/GaussianProcesses

Modern C++ library handling gaussian processes

Language: C++ - Size: 3.91 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 2

msikorski93/Abalone-Dataset

Estimating abalone rings (age) based on their physical characteristics, such as gender, length, height, diameter, weight, etc.

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UQatKIT/Surrogate

Asynchronous Greedy Surrogate Client

Language: Python - Size: 583 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 2.43 MB - Last synced at: 25 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

omerwe/MKLMM

Multi Kernel Linear Mixed Models for Complex Phenotype Prediction

Language: Python - Size: 16 MB - Last synced at: 29 days ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 5

mmottl/gpr

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

Language: OCaml - Size: 2.89 MB - Last synced at: about 4 hours ago - Pushed at: 3 months ago - Stars: 47 - Forks: 7

evulan/GPR-HAT-barrier-prediction

Code used to predict hydrogen atom transfer (HAT) energy barriers using Gaussian Process Regression

Language: Python - Size: 921 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

JBris/aws-ray-cluster

Testing deployment of a Ray cluster on AWS

Language: Python - Size: 1.96 MB - Last synced at: 23 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

iastro-pt/gpyrn

Modelling stellar activity signals with Gaussian process regression networks

Language: Python - Size: 2.67 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 9 - Forks: 2

joseph-nagel/gaussian-processes

Gaussian process explorations

Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

robinthibaut/skbel

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

Language: Python - Size: 118 MB - Last synced at: 3 days ago - Pushed at: 10 months ago - Stars: 24 - Forks: 5

aybchan/gaussianprocess

interactive gaussian process modelling with d3.js

Language: JavaScript - Size: 315 KB - Last synced at: about 2 months ago - Pushed at: about 7 years ago - Stars: 5 - Forks: 0

Mojusko/stpy

Stochastic Process Library for Python

Language: Python - Size: 24 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

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.

Language: MATLAB - Size: 5.91 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 38 - Forks: 13

swyoon/pytorch-minimal-gaussian-process

A minimal implementation of Gaussian process regression in PyTorch

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GeorgeBatch/moleculenet

MSc Dissertation: Estimating Uncertainty in Machine Learning Models for Drug Discovery

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afrakilic/R-Packages-for-GP

Available R-Packages for Gaussian Process Regression

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kerembkr/QuantumGP

Using Quantum Algorithms to accelerate Gaussian Process Regression

Language: Python - Size: 18.7 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

JFagin/latent_SDE

Code for "Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties"

Language: Python - Size: 20.8 MB - Last synced at: 10 days ago - Pushed at: 9 months ago - Stars: 2 - Forks: 1

herolab-uga/hgprl

Hierarchical Gaussian Processes based Multi-Robot Relative Localization

Language: Python - Size: 2.57 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 0

bma114/corroded-steel-machine-learning

Example machine learning applications for the determination of the residual yield force of corroded steel bars tested under monotonic tensile loading. Data is collected from 26 experimental programs avaialbe in the literature.

Language: Python - Size: 93.8 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 1

popelier-group/WD24_dataset

WD24 dataset is a water dimer dataset consisting of 100,000 geometries generated without molecular dynamics simulations. The dataset intends to uniformly sample the water dimer configuration space.

Size: 373 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

woctezuma/regression

Gaussian Process Regression vs. Relevance Vector Machine.

Language: Python - Size: 42 KB - Last synced at: 14 days ago - Pushed at: 10 months ago - Stars: 4 - Forks: 3

ktye-UF/PowerSystemTopology

This repo is the code for the 2024 IEEE PES GM paper. It proposes a novel topology embedding method for handling topology problem in power system.

Language: C++ - Size: 156 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 1

grimmlab/evars-gpr

EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data

Language: Python - Size: 801 KB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

Alexis-Georganopoulos/Robotic-Finger

A Neural Network that predicts the direction of a force experienced by the Syntouch Biotac robotic finger

Language: Python - Size: 7.52 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

andreaponti5/GP-BO

Project for the Data Science PhD course of Probability

Language: Python - Size: 1.02 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

smidmatej/RGP

Recursive Gaussian Process regression allows performing GP regression, while also being able to add train the model at runtime

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rytse/mm19

Model for 2019 March Madness, 37th place on Kaggle + Google Cloud & NCAA ML Competition 2019

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yeungyh/pickle

Codes and data for the paper "Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems"

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jongwooko/IMDGP

Ko, Jongwoo, and Heeyoung Kim. "Deep Gaussian Process Models for Integrating Multifidelity Experiments with Non-stationary Relationships." IISE Transactions just-accepted (2021): 1-28.

Language: Python - Size: 11.7 KB - Last synced at: 12 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

aleksander-piprek/Supervised-machine-learning-methods-for-condition-monitoring-and-fault-detection-of-wind-turbines

Engineering Thesis written to predict fault detection in wind turbines using Python

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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.

Language: MATLAB - Size: 10.8 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

NAMYUNWOO/Weather_prediction_GPR

Weather prediction with Gaussian Process Regression

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KentaKato/GPRust

Rust implementation of Gaussian Process regression

Language: Rust - Size: 179 KB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

RobustFieldAutonomyLab/la3dm

Learning-aided 3D mapping

Language: C++ - Size: 2.51 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 122 - Forks: 48

jakeberggren/TDDE15-Advanced-Machine-Learning

TDDE15 - Advanced Machine Learning course at Linkoping University, Sweden

Language: R - Size: 2.35 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

cdemutiis/linear_gp_regression

Bayesian linear and Gaussian process regression to predict CO2 concentration as a function of time

Language: Matlab - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 0

jaburke166/gaussian_process_edge_trace

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

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ydecastro/super-resolution-testing

Testing procedures for Super-Resolution, i.e. testing spikes from low frequency measurements.

Language: Jupyter Notebook - Size: 192 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

benjmuller/AvGPR

AvGPR is a package that calculates a weighted average Gaussian Process regression model over 5 implementations from packages in both R and Python.

Language: R - Size: 326 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

ktiwari9/gaussian-process-101

This repository houses the source code for giving an introductory understanding of Gaussian Processes (GPs) to absolute beginners. It comes with worked examples.

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anassinator/gp

Differentiable Gaussian Process implementation for PyTorch

Language: Python - Size: 9.36 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 18 - Forks: 2

YangHu99/GravitationalPotential_GPR

Construct a non-parametric framework based on Gaussian process regression to infer gravitational potential from a stellar kinematical snapshot

Size: 1.05 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ebjaime/Local-and-Global-Sparse-Gaussian-Process-Regression

Study of Gaussian Process (GP) local and global approximations, and application of the sparse GP approximation, combining both the global and local approaches.

Language: Python - Size: 25.7 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

AlbertDominguez/infinite-width-NNs

Infinite-width neural networks from a practical point of view

Language: Python - Size: 10.7 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

wgurecky/bipymc

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

Language: Python - Size: 1.87 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 3

ShuaiGuo16/Surrogate_Optimization

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

Language: Jupyter Notebook - Size: 920 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 7

jswu18/approximate-inference

Expectation Maximisation, Variational Bayes, ARD, Loopy Belief Propagation, Gaussian Process Regression

Language: Python - Size: 26.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Kennethborup/gaussian_process_self_distillation

Official implementation of Self-Distillation for Gaussian Processes

Language: Python - Size: 279 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1

tuomasr/trafficsite

Plot current and predict future traffic in Helsinki region using Gaussian process regression

Language: Python - Size: 13 MB - Last synced at: about 2 years ago - Pushed at: about 9 years ago - Stars: 0 - Forks: 0

samuelzammit/EstCosmoPar-GPR-TPR

Estimation of the Hubble constant using Gaussian process regression and viable alternatives

Language: Python - Size: 67.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

lim271/FeatureSelectionGP

Gaussian process regression with feature selection

Language: Python - Size: 19.5 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 3

MasashiSode/MOBO

constrained/unconstrained multi-objective bayesian optimization package.

Language: Python - Size: 5.54 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 32 - Forks: 9

pod3275/GP-based-Adversarial-Detection

Gaussian process regression-based adversarial image detection

Language: Python - Size: 887 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

feather16/undergraduate-research

卒業研究の実験のために書いたソースコードです。全てのコードを1から書きました。(自動生成されたコードであるcython_wl_kernel.cppを除く)

Language: Python - Size: 6.51 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

MicheleDiSabato/BayesianOptimizationKG

Contribution to an open source repository which implements the Bayesian Optimization algorithm - Knowledge Gradient implementation

Language: Python - Size: 19.9 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

sgbaird-5DOF/interp

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

Language: MATLAB - Size: 607 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 2

davitpapikyan/Gaussian-Processes-for-Machine-Learning

Gaussian Processes for Machine Learning

Language: Jupyter Notebook - Size: 14 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

nphdang/FCGP

Fair Classification with Gaussian Process (FCGP)

Language: Python - Size: 2.97 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

jajokine/Ocean-Flows-and-Gaussian-Processes

MITx - MicroMasters Program on Statistics and Data Science - Data Analysis: Statistical Modeling and Computation in Applications - Fifth Project

Language: Jupyter Notebook - Size: 55.5 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 2

ArijusGrotuzas/GaussianProcess

Gaussian process and RBF interpolation.

Language: Python - Size: 28.3 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

m-nabati/JGPR

A multi-target regression algorithm based on Gaussian process regression

Language: R - Size: 491 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

maka89/noisy-gp

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

Language: Python - Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 9 - Forks: 1

neelsoumya/gaussian_process_tutorial

Tutorial and examples for Gaussian processes

Size: 26.4 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

f-izzat/DGP-StochasticImputation

A C++ implementation of Deep Gaussian Process with Stochastic Imputation

Language: C++ - Size: 412 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ameli/WhereIsMyPlume

Trajectory prediction by Bayesian learning of spatiotemporal velocity fields and hybrid Kalman filter

Language: Jupyter Notebook - Size: 311 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

pythonpanda2/psik-workshop-AL-GAP

GAP-AL tutorial for the Psi-k ML-IP 2021 tutorial workshop.

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Subhasishbasak/pythongp

A review of python packages for Gaussian Process Regression

Language: Python - Size: 76.2 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 2

MaxenceGiraud/MachineLearningAlgos

Personal reimplementation of some ML algorithms for learning purposes

Language: Python - Size: 297 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 2

javiccano/gaussian-process-regression-for-energy-generation-prediction

Prediction of the net hourly generated energy of a Combined Cycle Power Plant using Gaussian Process Regression (GPR).

Language: Jupyter Notebook - Size: 239 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

kjanjua26/Gaussian_Processes_Playground

This is a repository for implementing various Gaussian Processes (GPs) and also some notes regarding GPs from different lectures.

Language: Jupyter Notebook - Size: 33.9 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

kyungjaelee/imitation-learning-with-Gaussian-processes

Language: Jupyter Notebook - Size: 9.51 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 2

fjmillman/machine-learning

An implementation of 4 machine learning algorithms from scratch

Language: Python - Size: 3.34 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

zimmerman-cole/hons-proj-public

My undergraduate honours project, with others' private information/code removed.

Language: OpenEdge ABL - Size: 9.33 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

yingyingzhuzhu/ML_Project_2_Team_6 Fork of Eiris/ML_Project_2_Team_6

The goal of this project is to do Classification of Patterns with Relevance Vector Machines (RVM), Support Vector Machines (SVM), Gaussian Process Regression (GPR)

Language: Jupyter Notebook - Size: 3.75 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0