automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Language: Python - Size: 147 MB - Last synced: 1 day ago - Pushed: 2 days ago - Stars: 1,016 - Forks: 217

probsys/AutoGP.jl

Automated Bayesian model discovery for time series data

Language: Julia - Size: 46 MB - Last synced: 9 days ago - Pushed: 4 months ago - Stars: 50 - Forks: 4

stefanch/sGDML

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

Language: Python - Size: 24 MB - Last synced: 10 days ago - Pushed: 9 months ago - Stars: 137 - Forks: 35

nicholasjclark/mvgam

{mvgam} R 📦 to fit Dynamic Bayesian Generalised Additive Models for time series analysis and forecasting

Language: R - Size: 483 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 78 - Forks: 10

swyoon/pytorch-minimal-gaussian-process

A minimal implementation of Gaussian process regression in PyTorch

Language: Jupyter Notebook - Size: 492 KB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 57 - Forks: 12

mlr-org/mlr3mbo

Flexible Bayesian Optimization in R

Language: R - Size: 11.5 MB - Last synced: 16 days ago - Pushed: 17 days ago - Stars: 23 - Forks: 1

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: 5 days ago - Pushed: 5 days ago - Stars: 1 - Forks: 0

ma-compbio/Phylo-HMGP

Language: Python - Size: 2.66 MB - Last synced: 4 months ago - Pushed: over 3 years ago - Stars: 3 - Forks: 1

ma-compbio/Phylo-HMRF

Language: Python - Size: 9.11 MB - Last synced: 4 months ago - Pushed: over 3 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: about 2 months ago - Pushed: over 4 years ago - Stars: 11 - Forks: 5

robinthibaut/skbel

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

Language: Python - Size: 118 MB - Last synced: 16 days ago - Pushed: 3 months ago - Stars: 20 - Forks: 3

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: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

ZechangSun/QFA

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

Language: Jupyter Notebook - Size: 9.31 MB - Last synced: 19 days ago - Pushed: 9 months ago - Stars: 11 - Forks: 1

discsim/frank

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

Language: Python - Size: 108 MB - Last synced: 14 days ago - Pushed: 24 days ago - Stars: 15 - Forks: 5

aidanscannell/phd-thesis

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

Language: TeX - Size: 35.2 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 1

Albertsr/Optimization

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

Language: Python - Size: 411 KB - Last synced: 7 months ago - Pushed: over 3 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.

Language: Python - Size: 900 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

AaltoML/sequential-gp

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

Language: Jupyter Notebook - Size: 14.2 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 4 - Forks: 0

stephensrmmartin/omegad

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

Language: R - Size: 155 KB - Last synced: 9 months ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

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: 12 months ago - Pushed: about 3 years ago - Stars: 6 - Forks: 0

ntienvu/MiniBO

Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization

Language: Jupyter Notebook - Size: 2.74 MB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 12 - Forks: 1

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: about 1 year ago - Pushed: about 1 year 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: about 1 year ago - Pushed: about 1 year 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: about 1 year ago - Pushed: over 2 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: about 1 year ago - Pushed: about 2 years ago - Stars: 5 - Forks: 5

awav/interactive-gp

Interactive Gaussian Processes

Language: Jupyter Notebook - Size: 53.7 KB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 10 - Forks: 1

andrewfowlie/kingpin

Treed Gaussian process algorithm in Python

Language: Python - Size: 173 KB - Last synced: 19 days ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

Miikkasna/gploc

Gaussian Process localization with ToF and RSSI

Language: Jupyter Notebook - Size: 19.4 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

jhadida/gpso

Gaussian-Process Surrogate Optimisation

Language: MATLAB - Size: 388 KB - Last synced: 12 months ago - Pushed: over 4 years ago - Stars: 3 - Forks: 1

mohammadmozafari/stochastic-processes

Programming assignments and final project of stochastic processes course

Language: Jupyter Notebook - Size: 5.34 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

alspitz/issgpr

Incremental Sparse Spectrum Gaussian Process Regression

Language: C++ - Size: 5.86 KB - Last synced: 12 months ago - Pushed: about 3 years ago - Stars: 3 - Forks: 0

jkbren/ps-gpucbpe

Adaptive experimental design for maximizing information gain

Language: R - Size: 29.3 KB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 0

jacobnzw/SSMToybox_old

Sigma-Point Filters based on Bayesian Quadrature

Language: Python - Size: 495 KB - Last synced: about 1 year ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0