Bayesian Networks
Showing 7 of 7 projects
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.
A Julia library for representation, inference, and learning in Bayesian networks.
A Python library for learning Bayesian network structure from observational and interventional data with support for missing values and parallel execution.
A Julia framework for probabilistic graphical models, enabling structured probabilistic modeling and inference.
A Julia wrapper for the Smile C++ engine, providing access to Bayesian networks and influence diagrams for probabilistic modeling.
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