thangbui / sparseGP_powerEPLinks
Unifying sparse approximations for Gaussian process regression and classification, using Power EP
☆22Updated 8 years ago
Alternatives and similar repositories for sparseGP_powerEP
Users that are interested in sparseGP_powerEP are comparing it to the libraries listed below
Sorting:
- Heterogeneous Multi-output Gaussian Processes☆53Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Streaming sparse Gaussian process approximations☆67Updated 2 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- Continual Gaussian Processes☆32Updated 2 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 6 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Updated 3 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"☆18Updated 4 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 4 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.