Code and notebooks for my Medium blog posts
☆132Mar 17, 2024Updated 2 years ago
Alternatives and similar repositories for Blog-Posts
Users that are interested in Blog-Posts are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A curated list of causal inference libraries, resources, and applications.☆1,187Apr 21, 2026Updated 4 months ago
- This project introduces Causal AI and how it can drive business value.☆56Sep 6, 2024Updated last year
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆129Aug 3, 2026Updated 3 weeks ago
- Synthetic difference in differences for Python☆88Apr 4, 2024Updated 2 years ago
- Unstructured Code with interesting analysis☆36Oct 17, 2024Updated last year
- 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.
- Mis proyectos de marketing aplicando AI☆11Oct 31, 2025Updated 10 months ago
- In this repository I collect the lecture notes and code for an advanced course in Empirical Industrial Organization. All code is written …☆35Apr 19, 2022Updated 4 years ago
- Jupyter notebooks for MIT 14.38 Causal Machine Learning course☆15Aug 17, 2026Updated 2 weeks ago
- ☆13Jul 9, 2021Updated 5 years ago
- ☆16Jun 24, 2023Updated 3 years ago
- ☆15Feb 3, 2022Updated 4 years ago
- ☆27Jul 10, 2024Updated 2 years ago
- Synthetic difference in differences☆312Jan 15, 2024Updated 2 years ago
- This is the repository for the Python library mlsynth☆60Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- UpliftML: A Python Package for Scalable Uplift Modeling☆334Mar 23, 2023Updated 3 years ago
- Python notebooks for the tutorial paper on feature selection☆29Nov 15, 2024Updated last year
- Python package for causal inference via Synthetic Difference-in-Differences. Supports block and staggered adoption designs, optional cova…☆22Mar 25, 2026Updated 5 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
- ☆24Aug 19, 2020Updated 6 years ago
- Fit Sparse Synthetic Control Models in Python☆90Mar 26, 2024Updated 2 years ago
- Bayesian structural time series in python☆13Mar 17, 2022Updated 4 years ago
- Tutorial on time-series forcasting with scikit-learn☆33Mar 14, 2023Updated 3 years ago
- Rcpp Bindings to FastAD Automatic Differentiation☆13Jan 19, 2026Updated 7 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- DoubleML - Double Machine Learning in Python☆778Aug 18, 2026Updated last week
- Repository for the ISU Causal Inference Working Group☆12Apr 3, 2024Updated 2 years ago
- ☆20May 5, 2026Updated 3 months ago
- GitBook of Note of Applied Statistics with R☆17Mar 13, 2021Updated 5 years ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,444Jul 8, 2026Updated last month
- ☆32Feb 21, 2025Updated last year
- Graduate Econometrics course notes with code in Julia☆28Jan 18, 2022Updated 4 years ago
- ☆20Dec 2, 2025Updated 8 months ago
- ☆12Sep 11, 2023Updated 2 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.
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,775Aug 24, 2026Updated last week
- A pipeline to detect data drift and retrain the model when there is drift☆25Aug 3, 2023Updated 3 years ago
- Estimates parameters of EK(2002) or Waugh(2010) via STATA and computes bilateral trade flows via simmulation☆17Feb 12, 2021Updated 5 years ago
- This curated list contains python packages for time series analysis☆14Mar 24, 2023Updated 3 years ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆187Jun 6, 2024Updated 2 years ago
- ☆13Feb 1, 2024Updated 2 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆71Apr 26, 2025Updated last year