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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 Oct 23, 2026
  • Jupyter Notebook

ax-va / AxVaBayesian

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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 Jan 3, 2026
  • Python

forsing / Data-Science-10

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10. Grafovi zavisnosti co-occurrence graph, correlation graph, MI graph, Bayesian network, Markov network, PC algorithm, FCI, GES, NOTEARS, LiNGAM, ICA-LiNGAM, Louvain/Leiden communities, modularity, PageRank, betweenness/closeness/eigenvector centrality, motif/subgraph mining, graphlet

python graph pagerank prediction bayesian-network modularity louvain lotto lottery leiden ica loto fci co-occurrence pc-algorithm markov-network lingam notears
  • Updated Jul 10, 2026
  • Python

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