SheffieldML / GPmatLinks
Matlab implementations of Gaussian processes and other machine learning tools.
☆144Updated 8 years ago
Alternatives and similar repositories for GPmat
Users that are interested in GPmat are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Updated 3 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆52Updated 10 years ago
- Variational Gaussian Process State-Space Models☆25Updated 10 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆232Updated 2 years ago
- Sample implementations of proximal operators☆194Updated 12 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆34Updated 8 years ago
- Multi-task Gaussian Process☆45Updated 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☆188Updated 11 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Visualize optimization algorithms in MATLAB.☆155Updated 3 years ago
- Matlab code for the introduction to Gaussian processes, 2008☆30Updated 10 years ago
- Bayesian GPLVM in MATLAB and R☆77Updated 8 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆80Updated 3 years ago
- Optimization using Stochastic quasi-Newton methods☆42Updated 8 years ago
- Faster GP-LVM software in MATLAB.☆32Updated 4 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆78Updated 7 years ago
- ☆98Updated 7 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆77Updated last month
- Streaming sparse Gaussian process approximations☆69Updated 3 years ago
- code for "Efficient Optimization for Sparse Gaussian Process Regression"☆21Updated 12 years ago
- MATLAB Tensor Tools☆89Updated 2 months ago
- Fork of NETLAB toolbox written by Ian T. Nabney.☆19Updated 10 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 4 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆217Updated 6 years ago
- Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.☆29Updated 8 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 9 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Bayesian optimization with the Gaussian process assumption☆30Updated 9 years ago
- Bayesian System IDentification☆27Updated 7 years ago