Non-stationary spectral mixture kernels implemented in GPflow
☆29Nov 30, 2018Updated 7 years ago
Alternatives and similar repositories for nssm-gp
Users that are interested in nssm-gp are comparing it to the libraries listed below
Sorting:
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Sep 26, 2023Updated 2 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Dec 20, 2023Updated 2 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Aug 23, 2022Updated 3 years ago
- End-to-End Probabilistic Inference for Nonstationary Audio Analysis☆12Aug 7, 2019Updated 6 years ago
- Nonparametric Differential Equation Modeling☆56Mar 5, 2024Updated 2 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 6 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 4 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Mar 8, 2023Updated 2 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Mar 29, 2019Updated 6 years ago
- Matlab Code for Variational Gaussian Copula Inference☆17Mar 15, 2016Updated 9 years ago
- Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.☆19May 30, 2019Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 7 years ago
- Hierarchical Gaussian process latent variable model.☆18May 19, 2021Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Jan 21, 2021Updated 5 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Mar 31, 2021Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆112Nov 29, 2021Updated 4 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Dec 9, 2020Updated 5 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Apr 20, 2019Updated 6 years ago
- Implementation of Standard Gaussian Process Regression(GPR) and Sparse GPR in Matlab.☆13Mar 8, 2018Updated 7 years ago
- Library for Deep Gaussian Processes based on GPflow☆18Mar 31, 2020Updated 5 years ago
- Streaming sparse Gaussian process approximations☆69Oct 5, 2022Updated 3 years ago
- ☆14Oct 7, 2019Updated 6 years ago
- Net Present Value (NPV) Simulation for Python☆14Aug 12, 2019Updated 6 years ago
- Collection of resources from each meetup event☆13Nov 26, 2020Updated 5 years ago
- Gaussian Process Regression using Spectral Mixture in GPflow☆10Jan 22, 2020Updated 6 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Jan 27, 2022Updated 4 years ago
- PyTorch implementation of the Covariate-GPLVM☆25Mar 1, 2020Updated 6 years ago
- ☆26Jun 19, 2020Updated 5 years ago
- Gaussian processes regression models with linear inequality constraints☆16Jul 10, 2024Updated last year
- ☆16Apr 11, 2020Updated 5 years ago
- ☆12Feb 22, 2022Updated 4 years ago
- ☆10Jul 16, 2020Updated 5 years ago
- Deep Reinforcement Learning applied to trading☆15Jan 29, 2019Updated 7 years ago
- Sampling with Blackjax on Aesara☆11Mar 10, 2023Updated 2 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Jan 13, 2020Updated 6 years ago
- Source code for "When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian …☆10May 30, 2021Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Nov 13, 2020Updated 5 years ago
- Online variational GPs☆38Jun 1, 2023Updated 2 years ago