probsys/AutoGP.jl

Automated Bayesian model discovery for time series data

Language: Julia - Size: 50 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 80 - Forks: 5

nicholasjclark/mvgam

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting

Language: R - Size: 1.02 GB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 163 - Forks: 16

automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Language: Python - Size: 155 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1,188 - Forks: 238

mlr-org/mlr3mbo

Flexible Bayesian Optimization in R

Language: R - Size: 13.7 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 26 - Forks: 1

stephensrmmartin/omegad

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

Language: R - Size: 171 KB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

dmosopt/dmosopt

Distributed surrogate-assisted evolutionary methods for multi-objective optimization of high-dimensional dynamical systems

Language: Python - Size: 1.06 MB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 5 - Forks: 4

galbiatidavide/MyocardioModel

MyocardioModel is a mathematical and machine learning framework for simulating and inferring cardiac activation from sparse electro-anatomical data. It combines Gaussian Process regression, surrogate neural networks, and PDE-based solvers (Eikonal equation) to reconstruct activation maps and estimate physiological parameters.

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stefanch/sGDML

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

Language: Python - Size: 24 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 152 - Forks: 37

TheseAdama/DOPEcal

Design of physical experiments for expensive computer code calibration

Language: R - Size: 110 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

discsim/frank

1D, super-resolution brightness profile reconstruction for interferometric sources

Language: Python - Size: 109 MB - Last synced at: 18 days ago - Pushed at: 10 months ago - Stars: 20 - Forks: 5

swyoon/pytorch-minimal-gaussian-process

A minimal implementation of Gaussian process regression in PyTorch

Language: Jupyter Notebook - Size: 492 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 62 - Forks: 12

TheseAdama/SepGP

SepGP is an R package for modeling spatio-temporal functions that are consistently observed and predicted at predefined discrete time points.

Language: R - Size: 119 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

TheseAdama/SVDGP

The SVDGP package provides tools for the decomposition, modeling, and prediction of spatio-temporal functions.

Language: R - Size: 21.5 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

deepbiolab/reinforce-bio

Research on leveraging reinforcement learning to optimize bioprocess parameters and improve efficiency in biological systems.

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robinthibaut/skbel

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

Language: Python - Size: 118 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 24 - Forks: 5

mikediessner/environmental-conditions-BO

Data and code associated with paper "On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions" currently in review.

Language: Python - Size: 61.8 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

andrewfowlie/kingpin

Treed Gaussian process algorithm in Python

Language: Python - Size: 173 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

aidanscannell/phd-thesis

Bayesian Learning for Control in Multimodal Dynamical Systems | written in Org-mode

Language: TeX - Size: 35.2 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

ma-compbio/Phylo-HMGP

Language: Python - Size: 2.66 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1

ma-compbio/Phylo-HMRF

Language: Python - Size: 9.11 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 15 - Forks: 3

Alaya-in-Matrix/NeuralLinear

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

Language: Python - Size: 1.47 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 11 - Forks: 5

renjun0324/ti_mgpfact

The Docker container for MGPfact is primarily used for unsupervised manifold learning of single-cell RNA-seq data and can factorize complex cell trajectories into interpretable branching Gaussian processes.

Language: R - Size: 7.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ZechangSun/QFA

Quasar Factor Analysis – An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis

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Albertsr/Optimization

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

Language: Python - Size: 411 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 2

MingQQQ/Identification-of-Key-Factors-on-Stability-of-Multi-outfeed-HVDC

Resources and extra documentation for the manuscript "A Global Sensitivity-based Identification of Key Factors on Stability of Power Grid with Multi-outfeed HVDC" published in IEEE Latin America Transactions.

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AaltoML/sequential-gp

Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)

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MB-29/neural-Gaussian-process

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

Language: Python - Size: 843 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 0

ntienvu/MiniBO

Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization

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PericlesHat/mGPDM-batteries

Official implementation of Long-term Li-ion Battery Degradation Forecasting Using an Enhanced Gaussian Process Dynamical Model and Knowledge Transfer.

Language: Python - Size: 20.5 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

RuwangJiao/CEI

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

Language: MATLAB - Size: 2.59 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

stanbiryukov/apollo

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

Language: Python - Size: 35.2 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

marcelcases/calibration-sensors-machine-learning

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

Language: Python - Size: 2.99 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 5

awav/interactive-gp

Interactive Gaussian Processes

Language: Jupyter Notebook - Size: 53.7 KB - Last synced at: 5 months ago - Pushed at: about 6 years ago - Stars: 10 - Forks: 1

Miikkasna/gploc

Gaussian Process localization with ToF and RSSI

Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

jhadida/gpso

Gaussian-Process Surrogate Optimisation

Language: MATLAB - Size: 388 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 1

mohammadmozafari/stochastic-processes

Programming assignments and final project of stochastic processes course

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alspitz/issgpr

Incremental Sparse Spectrum Gaussian Process Regression

Language: C++ - Size: 5.86 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

jkbren/ps-gpucbpe

Adaptive experimental design for maximizing information gain

Language: R - Size: 29.3 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

jacobnzw/SSMToybox_old

Sigma-Point Filters based on Bayesian Quadrature

Language: Python - Size: 495 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0