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Search results for matlab gaussian processes
gaussian-processes
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matlab
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33 search results found
Gpmp2
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223
Gaussian Process Motion Planner 2
Keras Gp
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219
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Bcpd
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218
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
Vbmc
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209
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Gpstuff
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144
GPstuff - Gaussian process models for Bayesian analysis
Miscellaneous R Code
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140
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.
Deepgp
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78
Deep Gaussian Processes in matlab
Gpslam
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61
Sparse Gaussian Processes for SLAM
Gpz
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35
GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
Stk
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34
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.
Ts Emo
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32
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Max Value Entropy Search
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27
Max-value Entropy Search for Efficient Bayesian Optimization
Numericalgp
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24
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
Collab
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23
Collaborative filtering with the GP-LVM
Gptp_multi_output
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21
multivariate Gaussian process regression and multivariate Student-t process regression
Gplvm4manifold3d
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20
Generating 3D CAD models with manifolds trained by Gaussian Process Latent Variable Models
Irl
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19
Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning
Gpml
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16
An up-to-date version of GPML library.
Boundary Gp
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14
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
Tutorialgp
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12
Tutorial on Gaussian Processes
Nonstationary Spectral Kernels
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11
Implementation for Non-stationary Spectral Kernels (NIPS 2017)
Parametricgp In Matlab
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11
Parametric Gaussian Process Regression for Big Data (Matlab Version)
Cogp
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11
Collaborative multi-output Gaussian processes
Active_gp_hyperlearning
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10
Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014).
Nonstationary Audio Gp
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10
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
Longp
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9
Gaussian process regression + automatical model selection for logitudinal -omics data
Safe Online Learning For Gaussian Processes
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8
The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas Umlauft and Sandra Hirche published in IEEE Transactions on Automatic Control in 2020.
Surrogate Cmaes
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8
Surrogate CMA-ES (S-CMA-ES and DTS-CMA-ES) is a surrogate-based optimizing evolution strategy. It is based on the N. Hansen's CMA-ES algorithm which is interconnected with Gaussian processes (or random forests, that are, however, not maintained here anymore).
Csfa
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7
Codebase for Cross-Spectral Factor Analysis (Gallagher et al., 2017)
Interp
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7
Interpolate grain boundary properties in a 5 degree-of-freedom sense via a novel distance metric.
Incremental_gpom
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6
Incremental Gaussian processes occupancy mapping using range-finder sensors
Mgp
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6
An implementation of the MGP from Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," UAI 2014.
Efficient Gp Regression Via Kalman Filtering
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6
Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the temporal part of the space-time process while, standard GP regression is used for the spatial part
Npode
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5
Learning unknown ODE models with Gaussian processes
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1-33 of 33 search results
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