Unsupervised multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)

PXO (Poly-XTAL Operations). Generate, analyze and export complex 2D space partitions like metallic grain structures

Simulation of the Potts model for a university course in Monte Carlo simulations

Image denoising using Markov random fields.

Minimum Probability Flow-Boltzmann Machine Learning (MPF-BML) standalone GUI-based application for the inference of maximum entropy distribution parameters

Task Assignment with Potts Model

Exploration of phase transition in classical 2D, q={2,3,4,5,6} Potts model with Machine Learning

This repository is for regenerating the results in the paper.

Joint smoothing and partitioning of one-dimensional signals and time series with higher order Mumford-Shah models

2D potts model implementation (equals a 2D ising model when spins are limited to 2 states)

A demo to simulate 2D spin lattices with different shapes, boundary conditions, models and algorithms

course project of Probability and Stochastic Processes (2) of EE, Tsinghua University.

Simulation of space-embedded molecular aggregates using Potts model

Modelling of recrystallization of single phase material

Computer project of Random Simulation method, MCMC simulation of Potts model

Running SPPARKS (Stochastic Parallel Particle Kinetic Simulator) on HPC system

Code for Monte-Carlo simulation of q-state potts model.

Wolff algorithm for the q Potts model.

A highly modular simulation framework of Monte-Carlo methods, based on the Ising Model in a 2D spin lattice. Producing results for the macroscopic properties of the system via simulation and bootstrapping. A few commonly used algorithms are built-in. Model generalizations and additional algorithms can be implemented.