robertnishihara / gess
An MCMC algorithm for sampling continuous probability distributions in parallel
☆19Updated 9 years ago
Alternatives and similar repositories for gess:
Users that are interested in gess are comparing it to the libraries listed below
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Code for AutoGP☆26Updated 5 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 9 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆80Updated 6 months ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 8 years ago
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- Likelihood-free inference toolbox.☆57Updated 7 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆75Updated 10 months ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 7 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Updated 10 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- A probabilistic programming framework based on TensorFlow☆86Updated 5 years ago
- ABCpy package☆113Updated 8 months ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆46Updated 5 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago
- Python MCMC☆13Updated 13 years ago