multivariate Gaussian process regression and multivariate Student-t process regression
☆77Dec 3, 2025Updated 5 months ago
Alternatives and similar repositories for gptp_multi_output
Users that are interested in gptp_multi_output are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Scalable Gaussian Process Regression with Derivatives☆39Dec 13, 2018Updated 7 years ago
- ☆15Jan 6, 2019Updated 7 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Jan 2, 2014Updated 12 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24May 2, 2018Updated 8 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Dec 30, 2022Updated 3 years ago
- 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.
- Collaborative multi-output Gaussian processes☆12Jul 23, 2014Updated 11 years ago
- Gaussian Processes regression with gaussian kernel implementation.☆28Nov 15, 2014Updated 11 years ago
- Heterogeneous Multi-output Gaussian Processes☆54May 4, 2020Updated 6 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆70Jan 17, 2025Updated last year
- Continual Gaussian Processes☆31Jul 6, 2023Updated 2 years ago
- Multi-output Gaussian process regression via multi-task neural network☆14Dec 3, 2019Updated 6 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Apr 5, 2021Updated 5 years ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆93Sep 7, 2017Updated 8 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Apr 16, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- stochastic recursive Gaussian Process (SRGP)☆20Nov 27, 2020Updated 5 years ago
- Automated Variational Inference for Gaussian Process Models☆14Aug 18, 2015Updated 10 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆72May 10, 2017Updated 8 years ago
- Bayesian Active Learning with Fully Bayesian Gaussian Processes☆14Sep 29, 2022Updated 3 years ago
- Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions v…☆10Nov 8, 2018Updated 7 years ago
- Multi-Output Gaussian Process Toolkit☆189Jun 4, 2025Updated 11 months ago
- Parametric Gaussian Process Regression for Big Data☆46Feb 20, 2020Updated 6 years ago
- System indetification of Ship Dynamic System with Multi Output Gaussian Processes☆16Aug 9, 2020Updated 5 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆16Jul 9, 2018Updated 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.
- Matlab codes for support vector regression (SVR) and revelance vector regression (RVR) analysis with cross validation to evaluate the pre…☆23May 30, 2020Updated 5 years ago
- Tutorial on Gaussian Processes☆66Feb 20, 2020Updated 6 years ago
- my mtp thesis attempt to simulate electronic stability control for electric vehicle with four in wheel motors☆12Aug 30, 2019Updated 6 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Mar 29, 2019Updated 7 years ago
- Streaming sparse Gaussian process approximations☆69Oct 5, 2022Updated 3 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 7 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- ☆13May 6, 2017Updated 9 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Jun 12, 2022Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Python3 project applying Gaussian process regression for forecasting stock trends☆162Aug 17, 2018Updated 7 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Jan 16, 2020Updated 6 years ago
- A hands-on tutorial on supervised learning with Gaussian processes☆37Nov 22, 2019Updated 6 years ago
- Gaussian Online Processes for Python☆19Jan 5, 2025Updated last year
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆44Feb 6, 2014Updated 12 years ago
- A tutorial about Gaussian process regression☆195Sep 3, 2020Updated 5 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆20Mar 11, 2021Updated 5 years ago