Showing 4 of 4 projects
A Python toolkit for causal and probabilistic reasoning using graphical models like Bayesian Networks and Structural Equation Models.
A symbolic framework for numeric optimization with automatic differentiation and code generation capabilities.
A C++ toolkit with MATLAB interface for automatic control and dynamic optimization, including model predictive control and parameter estimation.
A Scala toolkit for deployable probabilistic modeling using imperatively-defined factor graphs.
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