pmorenoz / ContinualGP
Continual Gaussian Processes
☆32Updated last year
Alternatives and similar repositories for ContinualGP:
Users that are interested in ContinualGP are comparing it to the libraries listed below
- Heterogeneous Multi-output Gaussian Processes☆52Updated 4 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Streaming sparse Gaussian process approximations☆63Updated 2 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 4 years ago
- Recyclable Gaussian Processes☆11Updated 2 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- Nonparametric Differential Equation Modeling☆53Updated last year
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 7 months ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆62Updated 2 months ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆30Updated 8 months ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Deep Gaussian Processes in Python☆233Updated 3 years ago
- This is a repositoy with a Fully Natural Gradient Scheme for Improving optimisation of the HetMOGP Model☆10Updated 4 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆70Updated 4 years ago
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- ☆28Updated 6 years ago
- ☆14Updated last year
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆149Updated 6 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago