OptimizeRasters is a set of tools for converting raster data to optimized Tiled TIF or MRF files, moving data to cloud storage, and creating Raster Proxies.

A high-performance general-purpose MRF MAP solver, heavily exploiting SIMD instructions.

Open-source MATLAB-based computational platform for modeling and analyzing steel frame buildings in OpenSEES.

Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm" (Zhang, Y et al.)

A Bayesian framework for Multi-Frame Image Super-Resolution. Based on "Bayesian Image Super-Resolution" (ME Tipping and CM Bishop, NeurIPS 2003)

👐 This package includes 3 MR fingerprinting methods to reconstruct parametric maps: standard dictionary-based matching and dictionary-based learning using a statistical or a neural network approach.

Mohsenifar, A., Mohammadzadeh, A., Moghimi, A. and Salehi, B., 2021, A Novel Unsupervised Forest Change Detection Method Based on The Integration of a Multiresolution Singular Value Decomposition Fusion and an Edge-Aware Markov Random Field Algorithm. International Journal of Remote Sensing, doi:10.1080/01431161.2021.1995075.

A highly optimized library for building markov random fields with pytorch.

An R package for analysis of Markov Random Fields on 2-dimensional lattices.

Memory Efficient Max Flow

Drivers for 802.15.4 compliant transceivers

ESS Site-specific EPICS module : mrfioc2

A MAP-MRF Framework for Image Denoising

Probabilistic Graphical Models final project

PGM

Dual decomposition based Markov-Random-Fields solvers.

MRF based timing network toolkit.

nxtgm -- a C++/Python/JavaScript library for discrete graphical models writen in C++17

Cosaliency Detection and Region-of-Interest Extraction via Manifold Ranking and MRF in Remote Sensing Images