LiuHaiTao01 / SVSHGP
Stochastic variational heteroscedastic Gaussian process
☆14Updated 5 years ago
Alternatives and similar repositories for SVSHGP:
Users that are interested in SVSHGP are comparing it to the libraries listed below
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 3 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 4 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 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
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 4 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- Continual Gaussian Processes☆32Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆70Updated 4 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- ☆28Updated 2 years ago
- Parametric Gaussian Process Regression for Big Data☆44Updated 5 years ago
- Python model for constrained GP☆24Updated 3 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 3 years ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 3 years ago
- Nonparametric Differential Equation Modeling☆53Updated 11 months ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆62Updated last month
- Codes for Hilbert space reduced-rank GP regression☆14Updated 5 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 7 months ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆49Updated 9 years ago
- ☆41Updated 7 years ago
- Collection of resources from each meetup event☆13Updated 4 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- A collection of Gaussian process models☆30Updated 7 years ago