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☆92Updated 3 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆138Updated 7 years ago
- Bayesian optimization with the Gaussian process assumption☆30Updated 8 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆49Updated 9 years ago
- code for "Efficient Optimization for Sparse Gaussian Process Regression"☆21Updated 11 years ago
- Collection of jupyter notebooks for demonstrating software.☆166Updated 2 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Deep GPs with GPy☆31Updated 8 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 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☆183Updated 10 years ago
- Parametric Gaussian Process Regression for Big Data☆44Updated 5 years ago
- customized GPflow with simple Tensorflow API☆17Updated 5 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆105Updated 7 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- A Newton ADMM based solver for Cone programming.☆38Updated 7 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆149Updated 6 years ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆37Updated 11 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated 8 months ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆72Updated 3 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 8 years ago