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    31 repositories

    • CausalAI-Course

      Public
      Lectures and Tutorials for the Causal AI course
      Jupyter Notebook
      •36•38•4•4•Updated Oct 17, 2024Oct 17, 2024

    • csdid

      Public
      CSDID
      Jupyter Notebook
      •
      MIT License
      •5•15•9•2•Updated Oct 11, 2024Oct 11, 2024

    • DRDIDpy

      Public
      Python
      •
      MIT License
      •1•1•3•1•Updated Aug 2, 2024Aug 2, 2024

    • TreatmentEffectRisk

      Public
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated Jul 17, 2024Jul 17, 2024

    • dvds-py

      Public
      Python
      •
      MIT License
      •0•0•0•1•Updated Jul 17, 2024Jul 17, 2024

    • streamlit-template-CAI-UP

      Public
      Python
      •6•0•0•0•Updated Jul 7, 2024Jul 7, 2024

    • synthdid.py

      Public
      Python
      •
      MIT License
      •1•5•4•0•Updated Jun 28, 2024Jun 28, 2024

    • llm4tesis-app

      Public
      Python
      •1•0•0•0•Updated May 16, 2024May 16, 2024

    • llm4tesis-knowledge-base

      Public
      Python
      •0•0•0•0•Updated May 16, 2024May 16, 2024

    • llm4tesis-data-pipeline

      Public
      Python
      •0•0•0•0•Updated May 16, 2024May 16, 2024

    • llm4tesis-chatbot-ui

      Public
      0•0•0•0•Updated May 15, 2024May 15, 2024

    • gpt-github-sdid

      Public
      Python
      •0•0•0•0•Updated Feb 5, 2024Feb 5, 2024

    • llm4tesis

      Public
      Python
      •
      Creative Commons Zero v1.0 Universal
      •0•0•0•0•Updated Nov 18, 2023Nov 18, 2023

    • wb-project-analysis

      Public
      Chatbot application for analyzing documents, specially made for analyzing World Bank project documents.
      Python
      •
      GNU General Public License v2.0
      •0•0•0•0•Updated Oct 25, 2023Oct 25, 2023

    • csdid-pyspark

      Public
      Jupyter Notebook
      •0•0•0•0•Updated Sep 29, 2023Sep 29, 2023

    • 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 Python.
      Jupyter Notebook
      •
      MIT License
      •5•12•0•2•Updated Jul 21, 2023Jul 21, 2023

    • hdmpy

      Public
      A python port of the hdm package for R
      Python
      •0•0•0•0•Updated Jun 26, 2023Jun 26, 2023

    • osrmareas

      Public
      R
      •
      Other
      •0•1•1•0•Updated Jun 22, 2023Jun 22, 2023

    • becas_perm

      Public
      Python
      •0•0•0•0•Updated Jun 3, 2023Jun 3, 2023

    • HDMjl.jl

      Public
      Jupyter Notebook
      •
      MIT License
      •0•4•1•6•Updated May 29, 2023May 29, 2023

    • python_visual_library

      Public
      This is a repository maintained by D2CML and containing example graphs on how to explore data sets and display results of Impact Evaluations using Python
      Jupyter Notebook
      •
      MIT License
      •2•2•2•0•Updated May 5, 2023May 5, 2023

    • 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 Victor Chernozukhov.
      rstudiomljupyterbook
      Jupyter Notebook
      •2•12•0•0•Updated May 5, 2023May 5, 2023

    • 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 Victor Chernozukhov. All the scripts were in R and we decided to translate them into Python, so students can manage both programing languages. Jannis Ku…
      Jupyter Notebook
      •1•16•1•0•Updated May 5, 2023May 5, 2023

    • 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 Victor Chernozukhov. All the scripts were in R and we decided to translate them into Julia, so students can manage both programing languages. Jannis …
      Jupyter Notebook
      •2•8•1•0•Updated May 5, 2023May 5, 2023

    • Sensemakr.jl

      Public
      Julia implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
      Julia
      •
      MIT License
      •0•7•1•1•Updated May 4, 2023May 4, 2023

    • Synthdid.jl

      Public
      Synthetic difference in differences - Julia implementation of https://synth-inference.github.io/synthdid/
      causal-inferencediff-in-diff
      Julia
      •
      MIT License
      •0•4•0•6•Updated May 4, 2023May 4, 2023

    • synthdid

      Public
      Julia
      •0•1•0•0•Updated Mar 10, 2023Mar 10, 2023

    • JlSensemakr.jl

      Public
      Julia
      •
      MIT License
      •0•1•1•0•Updated Oct 10, 2022Oct 10, 2022

    • 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
      •4•8•2•0•Updated Sep 29, 2022Sep 29, 2022

    • surrogates

      Public
      Jupyter Notebook
      •0•0•0•0•Updated Sep 28, 2022Sep 28, 2022