SheffieldML / multigpLinks
Multiple output Gaussian processes in MATLAB including the latent force model.
☆52Updated 10 years ago
Alternatives and similar repositories for multigp
Users that are interested in multigp are comparing it to the libraries listed below
Sorting:
- Variational Gaussian Process State-Space Models☆25Updated 10 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆145Updated 8 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆80Updated 3 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆77Updated 2 months ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Updated 3 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Streaming sparse Gaussian process approximations☆69Updated 3 years ago
- Heterogeneous Multi-output Gaussian Processes☆54Updated 5 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 9 years ago
- Multi-task Gaussian Process☆45Updated 11 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆34Updated 8 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 4 years ago
- Bayesian optimization in high-dimensions via random embedding.☆116Updated 12 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☆189Updated 11 years ago
- Continual Gaussian Processes☆31Updated 2 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 7 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 12 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 4 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆57Updated 7 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Updated 8 years ago
- Bayesian Gaussian mixture models in Python.☆64Updated 2 years ago
- Bayesian System IDentification☆28Updated 8 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆233Updated 2 years ago
- Learning unknown ODE models with Gaussian processes☆27Updated 7 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 3 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 5 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 7 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago