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bayesian-networks

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A portfolio of advanced projects in probabilistic graphical models (PGMs), featuring hands-on notebooks for model design, inference, and real-world applications. Includes work on Bayesian networks, image denoising, and creative PGM explorations. Ideal for data science, machine learning, and AI.

  • Updated Oct 6, 2025
  • Jupyter Notebook

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