Scalable open-source software to run, develop, and benchmark causal discovery algorithms
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Updated
Mar 13, 2025 - Python
Scalable open-source software to run, develop, and benchmark causal discovery algorithms
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
Bayesian structure learning and classification in decomposable graphical models.
Graph: Representation, Learning, and Inference Methods
This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and their mixing.
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