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A Python library for probabilistic modeling built on PyTorch, offering modular distributions, GPU support, and flexible model composition.
A Python toolkit for causal and probabilistic reasoning using graphical models like Bayesian Networks and Structural Equation Models.
A collection of 30+ LaTeX drawing examples for Bayesian networks, graphical models, tensors, and academic illustrations.
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