Exact Hamiltonian Monte Carlo Sampler for Binary Distributions

Theano implementations of thermodynamic Monte Carlo algorithms

Hamiltonian Monte Carlo on the space of phylogenies

An implementation of Stochastic Gradient Hamiltonian Monte Carlo by Gilad Amitai and Beau Coker

David Mackay's book review and problem solvings and own python codes, mathematica files

Exchange cations in STW zeolite (Si4+ and Ge4+) with an effective hamiltonian MC code.

Sparse Bayesian ARX models with flexible noise distributions

Hamiltonian Monte Carlo implemented for simple linear systems

Used in Deep Machine Learning and Lattice Quantum Chromodynamics

Hamiltonian Monte Carlo for a linear forward model.

Code related to sampling, gaussian process and so on

PinNUTS🥜 is dynamic Hamiltonian Monte Carlo algorithm implemented in Python

Exact Hamiltonian Monte Carlo Sampler for Truncated Multivariate Gaussians

An experimental Python package for learning Bayesian Neural Network.

Optimal drug dosing with MCMC using rstan

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

A Python package for likelihood-free inference (LFI) methods such as Approximate Bayesian Computation (ABC)

Implementation of folded Folded Hamiltonian Monte Carlo for data imputation and augmentation on data collected from cancer patients who self-reported their symptoms experience during chemotherapy by a team in the School of the Nursing University of California.

This project contains the implementation of using the generative models in continuous authentication on motion sensor data from the H-MOG dataset.