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  1. 14.388_py 14.388_py Public

    This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI in the Department of Economics at MIT taught by Professor Vi…

    Jupyter Notebook 14 1

  2. mgtecon634_py mgtecon634_py Public

    This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in the MGTECON 634 at Stanford. Scripts were translated into Pyt…

    Jupyter Notebook 11 4

  3. 14.388_r 14.388_r Public

    This Jupyterbook has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI in the Department of Economics at MIT taught by Professor…

    Jupyter Notebook 11 2

  4. 14.388_jl 14.388_jl Public

    This Jupyterbook has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI in the Department of Economics at MIT taught by Professor…

    Jupyter Notebook 8 2

  5. mgtecon634_r mgtecon634_r Public

    This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in the MGTECON 634 at Stanford.

    Jupyter Notebook 7 4

  6. Sensemakr.jl Sensemakr.jl Public

    Julia implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr

    Julia 7

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