gaussian-process
There are 34 repositories under gaussian-process topic.
automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
stefanch/sGDML
sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model
nicholasjclark/mvgam
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
probsys/AutoGP.jl
Automated Bayesian model discovery for time series data
swyoon/pytorch-minimal-gaussian-process
A minimal implementation of Gaussian process regression in PyTorch
mlr-org/mlr3mbo
Flexible Bayesian Optimization in R
robinthibaut/skbel
SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
discsim/frank
1D, super-resolution brightness profile reconstruction for interferometric sources
MB-29/neural-Gaussian-process
A NumPy implementation of Lee et al., Deep Neural Networks as Gaussian Processes, 2018
ntienvu/MiniBO
Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization
Alaya-in-Matrix/NeuralLinear
Multi-output Gaussian process regression via multi-task neural network
marcelcases/calibration-sensors-machine-learning
Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms
ZechangSun/QFA
Quasar Factor Analysis – An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis
AaltoML/sequential-gp
Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)
awav/interactive-gp
Interactive Gaussian Processes
alspitz/issgpr
Incremental Sparse Spectrum Gaussian Process Regression
RuwangJiao/CEI
A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization
jhadida/gpso
Gaussian-Process Surrogate Optimisation
stanbiryukov/apollo
Highly performant and scalable out-of-the-box gaussian process regression and Bernoulli classification. Built upon GPyTorch, with a familiar sklearn api.
Albertsr/Optimization
Hyper-Parameter Tuning / BayesianOptimization / Gaussian Process / etc.
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.
aidanscannell/phd-thesis
Bayesian Learning for Control in Multimodal Dynamical Systems | written in Org-mode
andrewfowlie/kingpin
Treed Gaussian process algorithm in Python
BujuNB/Gaussian-Processes
Normal Gaussian Process and Gaussian Process with Poisson Likelihood
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.
jkbren/ps-gpucbpe
Adaptive experimental design for maximizing information gain
Miikkasna/gploc
Gaussian Process localization with ToF and RSSI
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.
wongwil/PAI-projects
My implementation of several projects for the course "Probabilistic AI" at ETHZ in 2023, including Bayesian Optimization, Gaussian Processes and Reinforcement Learning.
jacobnzw/SSMToybox_old
Sigma-Point Filters based on Bayesian Quadrature
mohammadmozafari/stochastic-processes
Programming assignments and final project of stochastic processes course
stephensrmmartin/omegad
R Package for modeling omega-reliability coefficient from exogenous or latent space using Gaussian Processes or linear models.