Jupyter notebooks for MIT 14.38 Causal Machine Learning course
☆15Aug 17, 2026Updated last month
Alternatives and similar repositories for 14.38_Causal_ML
Users that are interested in 14.38_Causal_ML are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Lectures and Tutorials for the Causal AI course☆55Jul 13, 2026Updated 2 months ago
- Repository for the ISU Causal Inference Working Group☆12Sep 11, 2026Updated 2 weeks ago
- Intensive Python programming course materials for PUCP☆57Updated this week
- ☆25Sep 1, 2023Updated 3 years ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆157Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Repo que almacena todas las clases.☆23Jan 14, 2026Updated 8 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 …☆18May 5, 2023Updated 3 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆54Jul 8, 2021Updated 5 years ago
- ☆24Aug 19, 2020Updated 6 years ago
- CSDID☆62Jul 13, 2026Updated 2 months ago
- DIME's Python Training for advanced R/Stata users☆18Feb 2, 2026Updated 7 months ago
- Stata function to compute simultaneous sup-t confidence bands following Montiel Olea and Plagborg-Møller (2019)☆12Jun 18, 2019Updated 7 years ago
- Every big regression is a small regression with weights.☆75Jun 30, 2026Updated 2 months ago
- A textbook for Professor Edward Glaeser's ECON 1011A: Microeconomic Theory - Advanced, course at Harvard.☆14Jun 5, 2023Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Building a multi-agent RAG system with advanced RAG methods☆13Jan 12, 2025Updated last year
- Project template for STAT-4830☆19Jun 23, 2026Updated 3 months ago
- List of repositories administered by BC Stats (http://www.bcstats.gov.bc.ca/Home.aspx)☆11Jul 6, 2022Updated 4 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆16Feb 3, 2021Updated 5 years ago
- Code for DID chapter☆12May 30, 2023Updated 3 years ago
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆38Jan 26, 2025Updated last year
- Public data on firm entry from the Census and the BLS in a R package☆10Aug 1, 2023Updated 3 years ago
- A list of publicly available resources regarding the SAS7BDAT file format☆11Jan 10, 2022Updated 4 years ago
- Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…☆14Nov 21, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Parallel Programming with Python Tutorial☆42Nov 15, 2023Updated 2 years ago
- ☆100Sep 3, 2020Updated 6 years ago
- This Jupyterbook has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and …☆14May 5, 2023Updated 3 years ago
- Study repo for David Silver's Reinforcement Learning Course☆13Apr 26, 2019Updated 7 years ago
- ☆17Mar 24, 2026Updated 6 months ago
- Python probabilistic PCA (PPCA) implementation.☆13Nov 28, 2018Updated 7 years ago
- ☆21Mar 11, 2025Updated last year
- ☆20Feb 14, 2024Updated 2 years ago
- Lecture and conference materials for the DSE2024 at University of Wisconsin-Madison☆74Aug 10, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for Colangelo and Lee (2025)☆17Feb 3, 2025Updated last year
- A Python-based web scraping tool utilizing Selenium to extract financial data from the Peruvian Ministry of Economy and Finance (MEF) web…☆13Nov 24, 2025Updated 10 months ago
- The homework assignments finished for the coursera specialization "Probabilistic Graphical Models"☆13Jun 16, 2017Updated 9 years ago
- ☆16Mar 5, 2026Updated 6 months ago
- Successive Halving and Hyperband in the mlr3 ecosystem☆19Updated this week
- Course on local projections for applied macroeconomics☆29Jan 14, 2026Updated 8 months ago
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆14Jul 21, 2023Updated 3 years ago