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markov-network

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aGrUM

agrumery / aGrUM

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This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).

python machine-learning-algorithms statistical-learning python3 bayesian-network artificial-intelligence parallel-algorithm causality probabilistic-graphical-models causal-inference causal-models cpp20 probabilistic-inference explainable-ai xai probabilistic-classifiers structural-learning markov-network influence-diagram credal-network
  • Updated Nov 18, 2024
  • Jupyter Notebook

ax-va / Project-BayesianPy

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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.

machine-learning machine-learning-algorithms pgm inference bayesian-network probabilistic-programming bayesian-inference bayesian-networks probabilistic-graphical-models bayesian-machine-learning markov-networks probabilistic-reasoning markov-network bayesian-reasoning
  • Updated Apr 29, 2023
  • Python

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