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  1. CausalAI-Course CausalAI-Course Public

    Lectures and Tutorials for the Causal AI course

    Jupyter Notebook 40 36

  2. csdid csdid Public

    CSDID

    Jupyter Notebook 28 8

  3. 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 16 1

  4. 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 13 3

  5. 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 12 6

  6. synthdid.py synthdid.py Public

    Python 11 3

Repositories

Showing 10 of 32 repositories
  • Data-Science-Python Public

    This is a course in Data Science with Python

    Python 4 MIT 1 2 2 Updated Apr 9, 2025
  • DRDIDpy Public
    Python 1 MIT 2 3 1 Updated Jan 3, 2025
  • csdid Public

    CSDID

    Jupyter Notebook 28 MIT 8 8 1 Updated Dec 23, 2024
  • CausalAI-Course Public

    Lectures and Tutorials for the Causal AI course

    Jupyter Notebook 40 36 7 6 Updated Dec 12, 2024
  • TreatmentEffectRisk Public
    Jupyter Notebook 0 MIT 0 0 0 Updated Jul 17, 2024
  • dvds-py Public
    Python 0 MIT 0 0 1 Updated Jul 17, 2024
  • streamlit-template-CAI-UP Public
    Python 0 6 0 0 Updated Jul 7, 2024
  • synthdid.py Public
    Python 11 MIT 3 5 0 Updated Jun 28, 2024
  • llm4tesis-app Public
    Python 0 1 0 0 Updated May 16, 2024
  • llm4tesis-knowledge-base Public
    Python 0 0 0 0 Updated May 16, 2024
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