thangbui / geepeeLinks
A collection of Gaussian process models
☆30Updated 7 years ago
Alternatives and similar repositories for geepee
Users that are interested in geepee are comparing it to the libraries listed below
Sorting:
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- ☆40Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Code for AutoGP☆27Updated 5 years ago
- ☆28Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆32Updated 8 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- ☆26Updated 7 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 8 years ago
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago