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A Python package for uplift modeling and causal inference using machine learning algorithms to estimate treatment effects.
A Python toolkit for causal and probabilistic reasoning using graphical models like Bayesian Networks and Structural Equation Models.
An R package for estimating causal effects in time series using Bayesian structural time-series models.
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