Factor graphs and loopy belief propagation implemented in Python
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Updated
Jul 23, 2022 - Python
Factor graphs and loopy belief propagation implemented in Python
factor graph library
Belief propagation with sparse matrices (scipy.sparse) in Python for LDPC codes. Includes NumPy implementation of message passing (min-sum and sum-product) and a few other decoders.
Implementation of the Belief Propagation Side Channel Attack
Pratice and example to solve the pose graph SLAM problem using GTSAM
Developed and implemented 2D and 3D Pose Graph SLAM using the GTSAM library and Gauss Newton Solver on the Intel and Parking Garage g2o datasets respectively
A short python script to visualize factor graphs passed in as matrix inputs.
Pure python implementation of minisam.
Learn a Factor Graph, or Markov Random Field (MRF), from data/observations. I.e. do PGM parameter learning.
Master thesis
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