AaltoML / spatio-temporal-GPs
Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
☆47Updated 3 years ago
Alternatives and similar repositories for spatio-temporal-GPs:
Users that are interested in spatio-temporal-GPs are comparing it to the libraries listed below
- Literature and light wrappers for gaussian process models.☆45Updated 3 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆29Updated 7 months ago
- Modular Gaussian Processes☆15Updated 3 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 7 months ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆70Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆62Updated last month
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- A framework for composing Neural Processes in Python☆81Updated 2 months ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆124Updated 4 months ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated 10 months ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Collection of resources from each meetup event☆13Updated 4 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Methods and experiments for assumed density SDE approximations☆11Updated 3 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆58Updated 3 years ago
- ☆149Updated 2 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆70Updated 2 years ago
- Nonparametric Differential Equation Modeling☆53Updated 11 months ago
- ☆15Updated 2 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- ☆28Updated 2 years ago