robertnishihara / gessLinks
An MCMC algorithm for sampling continuous probability distributions in parallel
☆19Updated 10 years ago
Alternatives and similar repositories for gess
Users that are interested in gess are comparing it to the libraries listed below
Sorting:
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Code for AutoGP☆26Updated 5 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆32Updated 9 years ago
- Variational Fourier Features☆85Updated 3 years ago
- Likelihood-free inference toolbox.☆57Updated 8 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Bayesian dessert for Lasagne☆84Updated 7 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years 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
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated 10 months ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Deep GPs with GPy☆31Updated 9 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- modular implementation of new algorithm☆13Updated 11 years ago
- An implementation of Adams & MacKay 2007 "Bayesian Online Changepoint Detection"☆31Updated 10 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆77Updated last year
- ☆98Updated 7 years ago
- Preconditioning Kernel Matrices☆15Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago