mebden / GPtutorial
Matlab code for the introduction to Gaussian processes, 2008
☆30Updated 9 years ago
Alternatives and similar repositories for GPtutorial:
Users that are interested in GPtutorial are comparing it to the libraries listed below
- Deep Gaussian Processes in matlab☆91Updated 3 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- code for "Efficient Optimization for Sparse Gaussian Process Regression"☆21Updated 11 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆137Updated 7 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Bayesian optimization with the Gaussian process assumption☆30Updated 8 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆182Updated 10 years ago
- Bayesian GPLVM in MATLAB and R☆74Updated 7 years ago
- Collection of jupyter notebooks for demonstrating software.☆165Updated last year
- Multi-task Gaussian Process☆43Updated 10 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆49Updated 9 years ago
- Parametric Gaussian Process Regression for Big Data☆44Updated 5 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- ☆40Updated 5 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆81Updated 7 months ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Collapsed Variational Bayes☆69Updated 5 years ago
- Variational Fourier Features☆83Updated 3 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
- Gaussian Process Random Fields☆21Updated 9 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 3 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- A Newton ADMM based solver for Cone programming.☆38Updated 7 years ago
- Deep GPs with GPy☆31Updated 8 years ago