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
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 10 years ago
- Code for AutoGP☆26Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Python library for fitting massive mixture models using DP priors and GPU computation.☆23Updated 8 years ago
- my PhD thesis on Bayesian inference☆27Updated 11 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 7 years ago
- Poisson-Gamma dynamical systems☆16Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Parameterization Framework for parameterized model creation and handling.☆47Updated 11 months ago
- Stochastic Gradient MCMC algorithms implemented in theano (and autograd)☆9Updated 7 years ago
- Categorical Latent Gaussian Process☆16Updated 9 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Updated 10 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- ☆40Updated 5 years ago
- modular implementation of new algorithm☆13Updated 10 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆48Updated 9 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Deep Gaussian Processes in matlab☆91Updated 3 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- gpbo☆25Updated 4 years ago