Sampling from intractable distributions, with support for distributed and parallel methods

High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

Receiver function inversion by reversible-jump Markov-chain Monte Carlo

Latent Dirichlet Allocation coupled with Bayesian Time Series analyses

Bayeisan inversion to recover Green's functions of receiver-side structures from teleseismic waveforms

Variance reduction in energy estimators accelerates the exponential convergence in deep learning (ICLR'21)

HPC-parallelized Bayesian Parametric Slip Inversion (PSI)

Examples of several Markov Chain Monte Carlo methods such as t walk, emcee,Hamiltonian MC, Parallel Tempering HMC applied to UQ in ODEs

HPC-parallelized Bayesian Inversion for Near-surface Imaging (NEOPSY)

Parallel tempering code for an Ising spin glass (fortran90)

Langevin Gradient Parallel Tempering for Bayesian Neural Learning.

High-performance C++17 simulation for the 3D XY Spin Glass model. Implements Hybrid Monte Carlo algorithms (Metropolis, Over-relaxation, Parallel Tempering) with HPC optimizations and scientific validation against Pixley & Young (2008) data.

Algorithms for solving circuit-fault-diagnosis problems

Parallel Tempering Metropolis Monte Carlo

Replica Exchange Monte Carlo using PyStan2

JuMP wrapper for NASA PySA (ft QUBODrivers.jl)

Algorithm for ATSP using SA and PT algorithms

Distributed C/MPI parallel-tempering TSP solver with TSPLIB validation and a repeated 1–24 process strong-scaling benchmark.

This repository contains the Python code associated with the scientific publication "Exploring Quantum Annealing Architectures: A Spin Glass Perspective".

Hamon provides GPU-accelerated block Gibbs, adaptive non-reversible parallel tempering, and full round-trip diagnostics to drive scientific discovery in physics, probabilistic ML, and hard combinatorial problems.