Deep Gaussian Processes in matlab
☆93Sep 14, 2021Updated 4 years ago
Alternatives and similar repositories for deepGP
Users that are interested in deepGP are comparing it to the libraries listed below
Sorting:
- Matlab implementations of Gaussian processes and other machine learning tools.☆145Jun 16, 2017Updated 8 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37May 30, 2017Updated 8 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Feb 21, 2019Updated 7 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Jan 2, 2014Updated 12 years ago
- Deep GPs with GPy☆31May 18, 2016Updated 9 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Dec 30, 2022Updated 3 years ago
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Jun 27, 2015Updated 10 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆32Jul 6, 2017Updated 8 years ago
- Bayesian GPLVM in MATLAB and R☆78Jun 16, 2017Updated 8 years ago
- A collection of Gaussian process models☆30Aug 17, 2017Updated 8 years ago
- ☆29Feb 15, 2019Updated 7 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Nov 23, 2017Updated 8 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆77Dec 3, 2025Updated 3 months ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Sep 20, 2015Updated 10 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆52Nov 21, 2015Updated 10 years ago
- Gaussian processes framework in python☆2,143Jun 19, 2025Updated 9 months ago
- ☆15Jan 6, 2019Updated 7 years ago
- Deep neural network kernel for Gaussian process☆211Sep 8, 2020Updated 5 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39May 30, 2019Updated 6 years ago
- Gaussian processes in TensorFlow☆1,906May 29, 2025Updated 9 months ago
- MCMC, Differential Evolution Markov Chain, Ensemble Kalman filter, Approximate Bayesian Computing-Population Monte Carlo, and modeling av…☆37Jun 24, 2015Updated 10 years ago
- ☆11Sep 20, 2016Updated 9 years ago
- Fork of NETLAB toolbox written by Ian T. Nabney.☆19Dec 30, 2015Updated 10 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 11 years ago
- Hal Daume's hbc☆20Jan 23, 2010Updated 16 years ago
- This Repository contains the matlab codes to generate the figures in Chapter 4 of the book "Demand Response in Smart Grids".☆15Oct 12, 2019Updated 6 years ago
- Code for paper Stochastic Deep Gaussian Processes over Graphs☆21Nov 1, 2021Updated 4 years ago
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆39May 22, 2018Updated 7 years ago
- Scalable Gaussian Process Regression with Derivatives☆39Dec 13, 2018Updated 7 years ago
- Work on Gaussian Process Implicit Surfaces☆43Jun 26, 2017Updated 8 years ago
- Hierarchical Gaussian process latent variable model.☆18May 19, 2021Updated 4 years ago
- Variational Gaussian mixture model for MATLAB.☆14Mar 2, 2021Updated 5 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Jan 23, 2024Updated 2 years ago
- Resample data based on DTW alignment☆10Jun 8, 2017Updated 8 years ago
- End-to-End Probabilistic Inference for Nonstationary Audio Analysis☆12Aug 7, 2019Updated 6 years ago
- Necessary codes for GP☆11Apr 25, 2020Updated 5 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Mar 10, 2014Updated 12 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆55Nov 17, 2025Updated 4 months ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24May 2, 2018Updated 7 years ago