andreacasalino/Easy-Factor-Graph

General purpose C++ library for managing discrete factor graphs

37
/ 100
Emerging

This library helps C++ and Python developers build and work with probabilistic models known as factor graphs, which are similar to Bayesian networks. Developers can input data to define variables and factors, dynamically build and update these models, and then calculate probabilities or find optimal states for hidden variables. It's designed for engineers or researchers working on complex probabilistic reasoning tasks.

No commits in the last 6 months.

Use this if you need to build, analyze, or train undirected graphical models like Random Fields or Conditional Random Fields in C++ or Python.

Not ideal if you primarily work with Bayesian networks and don't require the specific properties or capabilities offered by factor graphs.

probabilistic-modeling graphical-models machine-learning-engineering statistical-inference algorithm-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

37

Forks

6

Language

C++

License

GPL-3.0

Category

cpp-ml-libraries

Last pushed

Feb 08, 2024

Commits (30d)

0

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