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A Python toolkit for causal and probabilistic reasoning using graphical models like Bayesian Networks and Structural Equation Models.
A Julia library for representation, inference, and learning in Bayesian networks.
A Go library implementing state estimation and filtering algorithms including Kalman, Extended Kalman, Unscented Kalman, and Particle filters.
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