pmorenoz / HetMOGPLinks
Heterogeneous Multi-output Gaussian Processes
☆52Updated 5 years ago
Alternatives and similar repositories for HetMOGP
Users that are interested in HetMOGP are comparing it to the libraries listed below
Sorting:
- Continual Gaussian Processes☆32Updated last year
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- Deep Gaussian Processes in Python☆233Updated 4 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆32Updated 8 years ago
- Streaming sparse Gaussian process approximations☆66Updated 2 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 10 months ago
- This is a repositoy with a Fully Natural Gradient Scheme for Improving optimisation of the HetMOGP Model☆10Updated 4 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
- ☆28Updated 6 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Multi-Output Gaussian Process Toolkit☆174Updated last year
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆74Updated 3 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated 11 months ago
- Stochastic variational heteroscedastic Gaussian process☆15Updated 6 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Implementation of the Gaussian Process Autoregressive Regression Model☆66Updated 4 months ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆25Updated 2 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 years ago
- Deep universal probabilistic programming with Python and PyTorch☆12Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago