jejjohnson / uncertain_gpsLinks
Exploring how to to deal with uncertain inputs with gaussian process regression models.
☆27Updated 4 years ago
Alternatives and similar repositories for uncertain_gps
Users that are interested in uncertain_gps are comparing it to the libraries listed below
Sorting:
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 3 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Updated 6 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Learning Neural Differential Algebraic Equations via Operator Splitting☆21Updated 5 months ago
- code for BINOCULARS and Multi-Step BO☆12Updated 5 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated 2 years ago
- Python model for constrained GP☆26Updated 4 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Updated 3 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated last year
- Bayesian Neural Network Surrogates for Bayesian Optimization☆65Updated last year
- A framework for composing Neural Processes in Python☆89Updated last year
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 4 years ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆28Updated last month
- Multi-Output Gaussian Process Toolkit☆183Updated 7 months ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Updated 4 years ago
- A Python package to learn the Koopman operator.☆65Updated last week
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆13Updated 3 years ago
- Literature and light wrappers for gaussian process models.☆47Updated 4 years ago
- Modular Gaussian Processes☆16Updated 4 years ago
- Heterogeneous Multi-output Gaussian Processes☆54Updated 5 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 7 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 4 years ago
- Streaming sparse Gaussian process approximations☆69Updated 3 years ago
- ☆28Updated 3 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 9 years ago