jejjohnson / uncertain_gps
Exploring how to to deal with uncertain inputs with gaussian process regression models.
☆27Updated 3 years ago
Alternatives and similar repositories for uncertain_gps:
Users that are interested in uncertain_gps are comparing it to the libraries listed below
- Stochastic variational heteroscedastic Gaussian process☆14Updated 5 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆70Updated 4 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 2 years ago
- ☆28Updated 2 years ago
- code for BINOCULARS and Multi-Step BO☆11Updated 4 years ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 3 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆30Updated 8 months ago
- Python model for constrained GP☆24Updated 3 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Literature and light wrappers for gaussian process models.☆45Updated 3 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆51Updated 3 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆59Updated 4 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 7 months ago
- Online variational GPs☆31Updated last year
- A Python package to learn the Koopman operator.☆54Updated 3 months ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- State-space deep Gaussian processes in Python and Matlab☆29Updated 2 years ago
- Continual Gaussian Processes☆32Updated last year
- Bayesian Neural Network Surrogates for Bayesian Optimization☆48Updated 10 months ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 4 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆19Updated 2 weeks ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 3 years ago
- Sparse Spectrum Gaussian Process Regression☆21Updated 5 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year