Ci2Lab / Applied_Causal_Inference_CourseLinks
This course is an overview of applied causal inference.
☆56Updated 7 months ago
Alternatives and similar repositories for Applied_Causal_Inference_Course
Users that are interested in Applied_Causal_Inference_Course are comparing it to the libraries listed below
Sorting:
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆160Updated 2 weeks ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆110Updated this week
- Notebooks for Applied Causal Inference Powered by ML and AI☆143Updated 9 months ago
- ☆14Updated 10 months ago
- Lecture Notes on Statistical Inference☆77Updated last year
- A resource list for causality in statistics, data science and physics☆267Updated 2 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆56Updated 7 months ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- Code and notebooks for my Medium blog posts☆131Updated last year
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆340Updated last year
- Machine Learning and Causal Inference taught by Brigham Frandsen☆220Updated 2 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆26Updated this week
- Code for the Book Causal Inference in Python☆357Updated last year
- Code used in the causality course (401-4632-15) at ETH Zurich.☆23Updated 6 years ago
- ☆34Updated last year
- Synthetic difference in differences for Python☆86Updated last year
- difference-in-differences in Python☆107Updated last year
- python implementation of Peng Ding's "First Course in Causal Inference"☆175Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated last year
- Unstructured Code with interesting analysis☆36Updated last year
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆177Updated last year
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆14Updated 2 years ago
- A Python package for causal inference using Synthetic Controls☆192Updated last year
- ☆23Updated last year
- This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …☆18Updated 2 years ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆103Updated last year
- Packages of Example Data for The Effect☆152Updated last year
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago