Code for the Book Causal Inference in Python
☆380Jan 23, 2024Updated 2 years ago
Alternatives and similar repositories for causal-inference-in-python-code
Users that are interested in causal-inference-in-python-code are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Causal Inference and Discovery in Python by Packt Publishing☆1,009Mar 2, 2026Updated 3 months ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,372Apr 8, 2026Updated 2 months ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,350Jan 8, 2022Updated 4 years ago
- A Python package for causal inference in quasi-experimental settings☆1,149Jun 1, 2026Updated last week
- A curated list of causal inference libraries, resources, and applications.☆1,162Apr 21, 2026Updated last month
- 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.
- DoubleML - Double Machine Learning in Python☆741Updated this week
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,654Updated this week
- This project introduces Causal AI and how it can drive business value.☆56Sep 6, 2024Updated last year
- Uplift modeling and causal inference with machine learning algorithms☆5,858May 16, 2026Updated 3 weeks ago
- A Python package for modular causal inference analysis and model evaluations☆818May 26, 2026Updated 2 weeks ago
- Causal Discovery in Python. Learning causality from data.☆1,623Updated this week
- Mis proyectos de marketing aplicando AI☆10Oct 31, 2025Updated 7 months ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,136Jun 2, 2026Updated last week
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆800Dec 1, 2025Updated 6 months 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.
- Unstructured Code with interesting analysis☆36Oct 17, 2024Updated last year
- Causal Inference in Python☆576Jun 21, 2025Updated 11 months ago
- Materials for Econ 5253 Data Science for Economists course at U of Oklahoma☆22May 6, 2025Updated last year
- Interpretable, intuitive outlier detector intended for categorical and numeric data.☆12Jun 19, 2024Updated last year
- Winning Solution for the M5 Competition for Uncertainty Forecasting☆10May 25, 2023Updated 3 years ago
- A simple to use AB testing framework that lets anyone perform bayesian data analysis☆21Oct 15, 2024Updated last year
- Synthetic difference in differences for Python☆88Apr 4, 2024Updated 2 years ago
- A multiverse of Prophet models for timeseries☆79May 19, 2026Updated 2 weeks ago
- ☆17May 19, 2026Updated 3 weeks ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Source repository for third edition of "Resampling: The New Statistics"☆14Jan 13, 2026Updated 4 months ago
- ☆26Oct 14, 2024Updated last year
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,670Jan 14, 2026Updated 4 months ago
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆28Feb 14, 2023Updated 3 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,466Jun 26, 2024Updated last year
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆671Jan 13, 2025Updated last year
- Causal Inference for the Brave and True的中文翻译版。全部代码基于Python,适用于计量经济学、量化社会学、策略评估等领域。英文版原作者:Matheus Facure☆937Mar 16, 2026Updated 2 months ago
- Material del curso de programación en Python del Colegio de Actuarios de Cataluña☆54Sep 15, 2025Updated 8 months ago
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Apr 19, 2021Updated 5 years ago
- 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.
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,046Jun 17, 2025Updated 11 months ago
- 2023 Scipy Pandas tutorial☆22Jul 12, 2023Updated 2 years ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆402May 28, 2022Updated 4 years ago
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆203Dec 6, 2023Updated 2 years ago
- Algoritmos de aprendizado de máquina criados manualmente para maior compreensão das suas funcionalidades☆76Feb 6, 2020Updated 6 years ago
- Developing Hierarchical Models for Sports Analytics☆22Feb 8, 2025Updated last year
- cem is a lightweight library for performing coarsened exact matching (CEM). CEM is a modern matching technique useful for causal inferenc…☆28Jun 17, 2024Updated last year