mebden / GPtutorialLinks
Matlab code for the introduction to Gaussian processes, 2008
☆30Updated 10 years ago
Alternatives and similar repositories for GPtutorial
Users that are interested in GPtutorial are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Bayesian optimization with the Gaussian process assumption☆30Updated 9 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆139Updated 7 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- code for "Efficient Optimization for Sparse Gaussian Process Regression"☆21Updated 11 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Streaming sparse Gaussian process approximations☆66Updated 2 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated 10 months ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆32Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Collection of jupyter notebooks for demonstrating software.☆167Updated 2 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆74Updated 3 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Collapsed Variational Bayes☆71Updated 5 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 7 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 7 years ago
- Python Library for Particle based estimation methods☆63Updated 6 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- A Python convex optimization package using proximal splitting methods☆111Updated last year
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- Infinite-horizon Gaussian processes☆33Updated 4 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago