parallel-tempering

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)

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

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

Parallel tempering code for an Ising spin glass (fortran90)

Langevin Gradient Parallel Tempering for Bayesian Neural Learning.

Algorithms for solving circuit-fault-diagnosis problems

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.

Parallel Tempering Metropolis Monte Carlo

Replica Exchange Monte Carlo using PyStan2

JuMP wrapper for NASA PySA (ft QUBODrivers.jl)

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

Convert combinatorial problems to Ising/QUBO form and solve them with a fast Rust simulated-annealing & parallel-tempering kernel.

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.