Heterogeneous Multi-output Gaussian Processes
☆55May 4, 2020Updated 6 years ago
Alternatives and similar repositories for HetMOGP
Users that are interested in HetMOGP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Continual Gaussian Processes☆32Jul 6, 2023Updated 2 years ago
- Hierarchical Change-Point Detection☆17Oct 25, 2018Updated 7 years ago
- Recyclable Gaussian Processes☆11Dec 8, 2022Updated 3 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆39Dec 19, 2022Updated 3 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆21Feb 25, 2023Updated 3 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.
- Infinite-horizon Gaussian processes☆33Sep 28, 2020Updated 5 years ago
- Multi-Output Gaussian Process Toolkit☆189Updated this week
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆37May 30, 2019Updated 7 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆76Dec 3, 2025Updated 6 months ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Aug 10, 2021Updated 4 years ago
- ☆12Mar 1, 2022Updated 4 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆34Apr 26, 2024Updated 2 years ago
- Code used in paper submitted to ICASSP 2019☆14Nov 22, 2018Updated 7 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2018☆31Dec 15, 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.
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Sep 26, 2023Updated 2 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 9 years ago
- Differentiable Gaussian Process implementation for PyTorch☆22Jul 8, 2018Updated 7 years ago
- Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.☆19May 30, 2019Updated 7 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- Repository for Chained Gaussian Processes☆14Apr 12, 2016Updated 10 years ago
- ☆24Jun 1, 2020Updated 6 years ago
- Collaborative multi-output Gaussian processes☆12Jul 23, 2014Updated 11 years ago
- Deep Gaussian Processes in Python☆233May 4, 2021Updated 5 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.
- Repository for labs☆14Sep 5, 2025Updated 9 months ago
- The PyGpPhs package is designed for utilizing Gaussian Process for port-Hamiltonian system.☆11May 6, 2024Updated 2 years ago
- End-to-End Probabilistic Inference for Nonstationary Audio Analysis☆12Aug 7, 2019Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.☆29Sep 24, 2017Updated 8 years ago
- Implementation of the Gaussian Process Latent Variable Model.☆14Oct 28, 2022Updated 3 years ago
- Nonparametric Differential Equation Modeling☆56Mar 5, 2024Updated 2 years ago
- Scalable Gaussian Process Regression with Derivatives☆39Dec 13, 2018Updated 7 years ago
- Machine learning of linear differential equations using Gaussian processes☆27May 2, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Implementation of the Gaussian Process Autoregressive Regression Model☆70Jan 17, 2025Updated last year
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 7 years ago
- Code for the paper Multi-task Causal Learning with Gaussian Processes (https://arxiv.org/pdf/2009.12821.pdf)☆13Oct 17, 2020Updated 5 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- Gaussian process modelling in Python☆226Dec 15, 2024Updated last year
- gpbo☆25Jan 18, 2021Updated 5 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆56Jul 19, 2022Updated 3 years ago