Hi everyone,
I would like to announce FactorGraph.jl, a Julia package for constructing factor graphs and running belief propagation algorithms.
The current version covers a fairly broad family of inference algorithms on factor graphs, with support for both Gaussian and discrete models.
Main features include:
- Gaussian factor graphs with scalar and vector variables
- Linear Gaussian factors
- Gaussian belief propagation in moment, canonical, and min-sum form
- Discrete finite-state factor graphs
- Iterative sum-product and min-sum belief propagation
- Forward-backward inference on tree-structured graphs
- Flooding, sequential, and residual message schedules
- Dynamic graph updates with stale-inference checks
- Printing, diagnostics, and graph inspection helpers
The documentation includes separate sections for Gaussian models, discrete models, examples, validation, and API references.
Package repository:
Documentation:
I would be very happy to receive feedback, bug reports, suggestions about the API, or ideas for additional examples and use cases.