gaussian-process

There are 2 repositories under gaussian-process topic.

SMAC3
automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
bayesian-optimization bayesian-optimisation hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration algorithm-configuration automl automated-machine-learning random-forest gaussian-process
Language:Python 1010
stefanch / sGDML
sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model
machine-learning molecular-force-fields molecular-dynamics gaussian-process quantum-chemistry
Language:Python 137
nicholasjclark / mvgam
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
bayesian-statistics ecological-modelling forecasting generalised-additive-models multivariate-timeseries rstats timeseries dynamic-factor-models gaussian-process jags stan multilevel-models vectorautoregression generalized-additive-models
Language:R 83
swyoon / pytorch-minimal-gaussian-process
A minimal implementation of Gaussian process regression in PyTorch
pytorch gaussian-processes gaussian-process-regression gaussian-process
Language:Jupyter Notebook 57
probsys / AutoGP.jl
Automated Bayesian model discovery for time series data
bayesian-inference forecasting gaussian-process machine-learning structure-learning times-series icml
Language:Julia 50
mlr3mbo
mlr-org / mlr3mbo
Flexible Bayesian Optimization in R
machine-learning r optimization bayesian-optimization model-based-optimization bbotk mlr3 r-package automl gaussian-process hyperparameter-optimization hyperparameter-tuning optimizer random-forest cran black-box-optimization hyperparameter tuning hpo
Language:R 23
skbel
robinthibaut / skbel
SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
hydrogeology geology groundwater pfa machine-learning bayesian-inference gaussian-processes gaussian-process gaussian-process-regression sklearn multiple-output-regression multivariate-regression
Language:Python 20
discsim / frank
1D, super-resolution brightness profile reconstruction for interferometric sources
fourier-methods gaussian-process interferometry
Language:Python 15
ma-compbio / Phylo-HMRF
3d-genome comparative-genomics gaussian-process machine-learning
Language:Python 15
MB-29 / neural-Gaussian-process
A NumPy implementation of Lee et al., Deep Neural Networks as Gaussian Processes, 2018
bayesian-inference deep-learning numpy neural-network prior infinite-width lee gaussian-process regression google-brain neurips neurips-2018
Language:Python 15
ntienvu / MiniBO
Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization
bayesian-optimization gaussian-process
Language:Jupyter Notebook 15
marcelcases / calibration-sensors-machine-learning
Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms
multiple-linear-regression k-nearest-neighbor random-forest kernel-regression gaussian-process support-vector-regression neural-network deep-learning sklearn tensorflow
Language:Python 12
Alaya-in-Matrix / NeuralLinear
Multi-output Gaussian process regression via multi-task neural network
gaussian-process neural-networks
Language:Python 11
ZechangSun / QFA
Quasar Factor Analysis – An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis
ai4science continuum factor-analysis gaussian-process machine-leanring quasar unsupervised-learning
Language:Jupyter Notebook 11
awav / interactive-gp
Interactive Gaussian Processes
gp gaussian-process gpflow tensorflow bokeh
Language:Jupyter Notebook 10
AaltoML / sequential-gp
Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)
continual-learning gaussian-process icml-2023
Language:Jupyter Notebook 7
alspitz / issgpr
Incremental Sparse Spectrum Gaussian Process Regression
regression gaussian-process linear-regression incremental-regression model-learning machine-learning random-fourier random-fourier-features fourier-features
Language:C++ 5
RuwangJiao / CEI
A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization
expected-improvement expensive-optimization gaussian-process constrained-optimization surrogate
Language:MATLAB 4
jhadida / gpso
Gaussian-Process Surrogate Optimisation
optimisation bayesian-optimization gaussian-process space-partitioning matlab
Language:MATLAB 3
ma-compbio / Phylo-HMGP
comparative-genomics gaussian-process genome-function machine-learning
Language:Python 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.
gaussian-processes kriging scikit-learn machine-learning gpytorch pytorch gaussian-process regression sklearn
Language:Python 3
Albertsr / Optimization
Hyper-Parameter Tuning / BayesianOptimization / Gaussian Process / etc.
optimization bayesianoptimization gaussian-process
Language:Python 2
aidanscannell / phd-thesis
Bayesian Learning for Control in Multimodal Dynamical Systems | written in Org-mode
gaussian-process gaussian-processes machine-learning mixture-of-experts model-based-reinforcement-learning optimal-control probabilistic-models robotics
Language:TeX 1
BujuNB / Gaussian-Processes
Normal Gaussian Process and Gaussian Process with Poisson Likelihood
gaussian-process gaussian-process-poisson tensorflow
Language:Jupyter Notebook 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.
bayesian-optimisation black-box-optimisation gaussian-process machine-learning optimisation research research-paper
Language:Python 1
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.
analytic-hierarchy-process gaussian-process global-sensitivity-analysis multi-outfeed-hvdc stability-index
Language:Python 1
andrewfowlie / kingpin
Treed Gaussian process algorithm in Python
gaussian-process tree-structure
Language:Python 0
jkbren / ps-gpucbpe
Adaptive experimental design for maximizing information gain
optimal-experimental-design gaussian-process information-gain
Language:R 0
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.
bifurcation docker gaussian-process trajectory-inference
Language:R 0
jacobnzw / SSMToybox_old
Sigma-Point Filters based on Bayesian Quadrature
nonlinear-filtering gaussian-process bayesian-quadrature kalman-filtering moment-transform
Language:Python
Miikkasna / gploc
Gaussian Process localization with ToF and RSSI
gaussian-process gp localization rssi tof
Language:Jupyter Notebook
mohammadmozafari / stochastic-processes
Programming assignments and final project of stochastic processes course
poisson-process gaussian-process estimation-theory hypothesis-testing hidden-markov-models
Language:Jupyter Notebook
stephensrmmartin / omegad
R Package for modeling omega-reliability coefficient from exogenous or latent space using Gaussian Processes or linear models.
psychometrics statistics bayesian gaussian-process stan
Language:R