rmgarnett / gpml_extensionsLinks
Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
☆33Updated 8 years ago
Alternatives and similar repositories for gpml_extensions
Users that are interested in gpml_extensions are comparing it to the libraries listed below
Sorting:
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 5 months ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆38Updated 2 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Updated 2 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆185Updated 11 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆48Updated 4 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆226Updated 2 years ago
- ☆236Updated 8 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- ☆40Updated 6 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆140Updated 8 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆76Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 11 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- some tools for gaussian linear dynamical systems☆89Updated 7 years ago