Showing 2 open source projects for "calculus"

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    DoWhy

    DoWhy

    DoWhy is a Python library for causal inference

    ...DoWhy builds on two of the most powerful frameworks for causal inference: graphical causal models and potential outcomes. For effect estimation, it uses graph-based criteria and do-calculus for modeling assumptions and identifying a non-parametric causal effect. For estimation, it switches to methods based primarily on potential outcomes.
    Downloads: 1 This Week
    Last Update:
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  • 2
    CausalNex

    CausalNex

    A Python library that helps data scientists to infer causation

    CausalNex is a Python library that uses Bayesian Networks to combine machine learning and domain expertise for causal reasoning. You can use CausalNex to uncover structural relationships in your data, learn complex distributions, and observe the effect of potential interventions.
    Downloads: 0 This Week
    Last Update:
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