erichanslee / GP_Derivatives
Scalable Gaussian Process Regression with Derivatives
☆38Updated 6 years ago
Alternatives and similar repositories for GP_Derivatives:
Users that are interested in GP_Derivatives are comparing it to the libraries listed below
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 2 years ago
- Nonparametric Differential Equation Modeling☆53Updated 11 months ago
- ☆28Updated 2 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 5 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆29Updated 7 months ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆48Updated 3 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆58Updated 3 years ago
- stochastic recursive Gaussian Process (SRGP)☆20Updated 4 years ago
- Online variational GPs☆31Updated last year
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 3 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆69Updated 4 years ago
- Infinite-horizon Gaussian processes☆32Updated 4 years ago
- Bayesian Filtering & Smoothing demos☆18Updated 5 years ago
- ☆14Updated 6 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆49Updated 9 years ago
- Heterogeneous Multi-output Gaussian Processes☆51Updated 4 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 2 years ago
- Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow☆13Updated 4 years ago
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆66Updated 2 months ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆68Updated last year
- Sparse Spectrum Gaussian Process Regression☆21Updated 4 years ago
- ☆15Updated 3 years ago
- ☆15Updated 7 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Official documentation☆28Updated 3 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆28Updated last week