jhamrick / gaussian_processes
Python library for working with gaussian processes
☆14Updated 11 years ago
Alternatives and similar repositories for gaussian_processes
Users that are interested in gaussian_processes are comparing it to the libraries listed below
Sorting:
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Code for AutoGP☆26Updated 5 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- ☆40Updated 6 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- ☆11Updated last year
- my PhD thesis on Bayesian inference☆27Updated 11 years ago
- Stochastic Gradient MCMC algorithms implemented in theano (and autograd)☆10Updated 8 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Talks from Neil Lawrence☆54Updated last year
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 8 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Variational Sparse Spectrum Gaussian Process toolkit☆22Updated 10 years ago
- Deep GPs with GPy☆31Updated 8 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Variational Fourier Features☆84Updated 3 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Deep Gaussian Processes in matlab☆92Updated 3 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Variational Bayesian Mixture of Factor Analysers☆24Updated 10 years ago