trungngv / gprnLinks
Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'
☆22Updated 11 years ago
Alternatives and similar repositories for gprn
Users that are interested in gprn are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆32Updated 8 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Code for AutoGP☆26Updated 5 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- ☆40Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Variational Fourier Features☆85Updated 3 years ago
- ☆28Updated 6 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 7 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 9 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Bayesian optimization with the Gaussian process assumption☆30Updated 9 years ago
- Automated Variational Inference for Gaussian Process Models☆14Updated 9 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Multi-task Gaussian Process☆43Updated 10 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
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 8 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year