pmorenoz / HetMOGPLinks
Heterogeneous Multi-output Gaussian Processes
☆54Updated 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☆31Updated 2 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 9 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Multi-Output Gaussian Process Toolkit☆179Updated 5 months ago
- Variational Gaussian Process State-Space Models☆25Updated 10 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated last year
- Streaming sparse Gaussian process approximations☆68Updated 3 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Updated 5 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 4 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆52Updated 9 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Updated 6 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆34Updated 8 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 5 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆78Updated 3 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆49Updated 2 years ago
- ☆155Updated 3 years ago
- Gaussian processes with PyTorch☆30Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 10 months ago
- Python and MATLAB code for Stein Variational sampling methods☆26Updated 6 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- A community repository for benchmarking Bayesian methods☆111Updated 3 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 4 years ago
- ☆29Updated 6 years ago