ebonilla / AutoGP
Code for AutoGP
☆26Updated 5 years ago
Alternatives and similar repositories for AutoGP:
Users that are interested in AutoGP are comparing it to the libraries listed below
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Variational Fourier Features☆84Updated 3 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- ☆40Updated 5 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 8 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆32Updated 9 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 8 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- ☆28Updated 6 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 3 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 11 years ago
- Code for the Bayesian Synthetic Likelihood paper by Price et al 2018 in the Journal of Computational and Graphical Statistics (volume 27,…☆12Updated 7 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- Fully nonstationary, heteroscedastic GP for Matlab☆14Updated 8 months ago
- Open Data Science☆33Updated 4 months ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 4 years ago
- Bayesian GPLVM in MATLAB and R☆74Updated 7 years ago
- ☆26Updated 6 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago