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@explicans

Explicans

  • Helsinki, Finland

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  1. dowhy dowhy Public

    Forked from py-why/dowhy

    DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

    Python

  2. dumb-init dumb-init Public

    Forked from Yelp/dumb-init

    A minimal init system for Linux containers

    Python

  3. causaleffect causaleffect Public

    Forked from cran/causaleffect

    ❗ This is a read-only mirror of the CRAN R package repository. causaleffect — Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models

    R

  4. client-python client-python Public

    A client library for the DoSearch SaaS API

Repositories

Showing 4 of 4 repositories
  • client-python Public

    A client library for the DoSearch SaaS API

    explicans/client-python’s past year of commit activity
    0 0 0 0 Updated Aug 26, 2021
  • dumb-init Public Forked from Yelp/dumb-init

    A minimal init system for Linux containers

    explicans/dumb-init’s past year of commit activity
    Python 0 MIT 360 0 0 Updated Feb 10, 2020
  • dowhy Public Forked from py-why/dowhy

    DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

    explicans/dowhy’s past year of commit activity
    Python 0 MIT 937 0 0 Updated Feb 4, 2020
  • causaleffect Public Forked from cran/causaleffect

    ❗ This is a read-only mirror of the CRAN R package repository. causaleffect — Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models

    explicans/causaleffect’s past year of commit activity
    R 0 5 0 0 Updated Sep 26, 2019

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