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:
- Hierarchical Change-Point Detection☆17Oct 25, 2018Updated 7 years ago
- Continual Gaussian Processes☆32Jul 6, 2023Updated 3 years ago
- Recyclable Gaussian Processes☆11Dec 8, 2022Updated 3 years ago
- Modular Gaussian Processes☆17Dec 9, 2021Updated 4 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆39Dec 19, 2022Updated 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.
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆21Feb 25, 2023Updated 3 years ago
- Infinite-horizon Gaussian processes☆33Sep 28, 2020Updated 5 years ago
- Multi-Output Gaussian Process Toolkit☆189Jul 27, 2026Updated last month
- Code companion of Multi-task Learning for Aggregated Data using Gaussian Processes paper☆11Apr 6, 2020Updated 6 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆77Dec 3, 2025Updated 9 months ago
- ☆12Mar 1, 2022Updated 4 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2018☆31Dec 15, 2022Updated 3 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Apr 5, 2021Updated 5 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆37Apr 26, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code used in paper submitted to ICASSP 2019☆14Nov 22, 2018Updated 7 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 8 years ago
- Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.☆19May 30, 2019Updated 7 years ago
- The PyGpPhs package is designed for utilizing Gaussian Process for port-Hamiltonian system.☆11May 6, 2024Updated 2 years ago
- Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.☆29Sep 24, 2017Updated 9 years ago
- A software package for flexible HPC GPs☆16Aug 11, 2026Updated last month
- Deep Gaussian Processes in Python☆232May 4, 2021Updated 5 years ago
- ☆24Jun 1, 2020Updated 6 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.
- Repository for Chained Gaussian Processes☆14Apr 12, 2016Updated 10 years ago
- Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…☆82Oct 27, 2023Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 7 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
- 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
- Regression datasets from the UCI repository with standardized test-train splits.☆55Jul 19, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆56Nov 17, 2025Updated 10 months ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆70Jan 17, 2025Updated last year
- Deep Reinforcement Learning applied to trading☆15Jan 29, 2019Updated 7 years ago
- gpbo☆25Jan 18, 2021Updated 5 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39May 6, 2020Updated 6 years ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆28Mar 17, 2026Updated 6 months ago
- ☆29Nov 23, 2019Updated 6 years ago