CausalAIBook / MetricsMLNotebooksLinks
Notebooks for Applied Causal Inference Powered by ML and AI
☆128Updated 4 months ago
Alternatives and similar repositories for MetricsMLNotebooks
Users that are interested in MetricsMLNotebooks are comparing it to the libraries listed below
Sorting:
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆103Updated 3 months ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆171Updated last year
- Machine Learning and Causal Inference taught by Brigham Frandsen☆208Updated 7 months ago
- This repository consolidates my teaching material for "Causal Machine Learning".☆255Updated 9 months ago
- This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …☆16Updated 2 years ago
- difference-in-differences in Python☆103Updated last year
- Lectures and Tutorials for the Causal AI course☆42Updated 7 months ago
- JupyterNotebook for the MIT course☆16Updated 3 months ago
- ☆22Updated last year
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆142Updated last week
- This course is an overview of applied causal inference.☆49Updated 2 months ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆22Updated last week
- Slides for the Seattle University Causal Inference Class☆140Updated 4 years ago
- Synthetic difference in differences for Python☆83Updated last year
- Causal Inference in Python☆44Updated 6 months ago
- CSDID☆32Updated 2 weeks ago
- Official repository for the mcf package.☆21Updated last week
- Lecture Notes on Statistical Inference☆76Updated 9 months ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆333Updated 9 months ago
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆12Updated 2 years ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆14Updated 3 years ago
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 2 months ago
- Materials Collection for Causal Inference☆47Updated 2 years ago
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆248Updated last week
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Design of Simulations using WGAN☆52Updated 2 years ago
- ☆90Updated last year
- ☆14Updated 5 months ago
- A Python package for causal inference using Synthetic Controls☆187Updated last year