Deep Gaussian Processes in matlab
☆93Sep 14, 2021Updated 5 years ago
Alternatives and similar repositories for deepGP
Users that are interested in deepGP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Matlab implementations of Gaussian processes and other machine learning tools.☆147Jun 16, 2017Updated 9 years ago
- Deep Gaussian Processes in Python☆232May 4, 2021Updated 5 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37May 30, 2017Updated 9 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆153Feb 21, 2019Updated 7 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Jan 2, 2014Updated 12 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Deep GPs with GPy☆31May 18, 2016Updated 10 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆176Dec 30, 2022Updated 3 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆32Jul 6, 2017Updated 9 years ago
- Bayesian GPLVM in MATLAB and R☆77Jun 16, 2017Updated 9 years ago
- A collection of Gaussian process models☆30Aug 17, 2017Updated 9 years ago
- ☆28Feb 15, 2019Updated 7 years ago
- Categorical Latent Gaussian Process☆16Mar 7, 2015Updated 11 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆96Nov 23, 2017Updated 8 years ago
- ☆16Oct 18, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Sep 20, 2015Updated 10 years ago
- Matlab code for the introduction to Gaussian processes, 2008☆30May 13, 2015Updated 11 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆52Nov 21, 2015Updated 10 years ago
- Gaussian processes framework in python☆2,165Aug 8, 2026Updated last month
- Gaussian processes in TensorFlow☆1,917Aug 10, 2026Updated last month
- Multi-view dimensionality reduction using tensor canonical correlation analysis☆10Jun 28, 2018Updated 8 years ago
- Deep neural network kernel for Gaussian process☆210Sep 8, 2020Updated 6 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆73May 10, 2017Updated 9 years ago
- Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.☆19May 30, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- MCMC, Differential Evolution Markov Chain, Ensemble Kalman filter, Approximate Bayesian Computing-Population Monte Carlo, and modeling av…☆37Jun 24, 2015Updated 11 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆37May 30, 2019Updated 7 years ago
- Hal Daume's hbc☆20Jan 23, 2010Updated 16 years ago
- Python implementation for Variational Bayesian Learning☆13Jan 23, 2014Updated 12 years ago
- Variational Gaussian mixture model for MATLAB.☆14Mar 2, 2021Updated 5 years ago
- Code for paper "Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing Regularizers"☆10Dec 30, 2019Updated 6 years ago
- ☆11Sep 20, 2016Updated 9 years ago
- Resample data based on DTW alignment☆10Jun 8, 2017Updated 9 years ago
- Code for my paper "Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression"☆11Sep 15, 2013Updated 13 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 12 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
- Scalable Gaussian Process Regression with Derivatives☆39Dec 13, 2018Updated 7 years ago
- Code for paper Stochastic Deep Gaussian Processes over Graphs☆20Nov 1, 2021Updated 4 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆34Mar 24, 2017Updated 9 years ago
- ☆18Mar 20, 2022Updated 4 years ago
- Hierarchical Gaussian process latent variable model.☆18May 19, 2021Updated 5 years ago