Unsupervised multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)
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Updated
May 11, 2026 - Python
Unsupervised multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)
Simulation of the Potts model for a university course in Monte Carlo simulations
PXO (Poly-XTAL Operations). Generate, analyze and export complex 2D space partitions like metallic grain structures
Image denoising using Markov random fields.
Joint protein, mRNA and DNA sequence design and optimization with nucleotide-level Potts models
Exploration of phase transition in classical 2D, q={2,3,4,5,6} Potts model with Machine Learning
2D potts model implementation (equals a 2D ising model when spins are limited to 2 states)
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
course project of Probability and Stochastic Processes (2) of EE, Tsinghua University.
Joint smoothing and partitioning of one-dimensional signals and time series with higher order Mumford-Shah models
Running SPPARKS (Stochastic Parallel Particle Kinetic Simulator) on HPC system
A demo to simulate 2D spin lattices with different shapes, boundary conditions, models and algorithms
Modelling of recrystallization of single phase material
This repository is for regenerating the results in the paper.
Multi-backend inference of Ising and Potts models (mean-field, adaptive cluster expansion, maximum likelihood, pseudolikelihood) on CPU and GPU, with applications to neuroscience and protein contact prediction.
Python package for Model selection among Minimally Complex spin Model (MCM) for discrete data.
Wolff algorithm for the q Potts model.
Simulation of space-embedded molecular aggregates using Potts model
PHASE — Protein Hamiltonian for Annealed Sampling of conformational Ensembles
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