rmgarnett / gpml_extensions
Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
☆31Updated 7 years ago
Alternatives and similar repositories for gpml_extensions:
Users that are interested in gpml_extensions are comparing it to the libraries listed below
- Deep Gaussian Processes in matlab☆91Updated 3 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 11 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆49Updated 9 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 4 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 4 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 3 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆172Updated 2 years ago
- ☆28Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆148Updated 6 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆137Updated 7 years ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆37Updated 2 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆29Updated 7 months ago
- Bayesian optimization in high-dimensions via random embedding.☆113Updated 11 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 5 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆72Updated 3 years ago
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Collection of resources from each meetup event☆13Updated 4 years ago
- Code for AutoGP☆26Updated 5 years ago
- Bayesian optimization with the Gaussian process assumption☆30Updated 8 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago