Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
☆1,340Jan 8, 2022Updated 4 years ago
Alternatives and similar repositories for causal_inference_python_code
Users that are interested in causal_inference_python_code are comparing it to the libraries listed below
Sorting:
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆7,970Feb 18, 2026Updated last week
- Causal Inference in Python☆576Jun 21, 2025Updated 8 months ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,257Sep 18, 2025Updated 5 months ago
- Repository with code and slides for a tutorial on causal inference.☆583Sep 23, 2019Updated 6 years ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,518Updated this week
- Uplift modeling and causal inference with machine learning algorithms☆5,747Updated this week
- An index of algorithms for learning causality with data☆3,244Jan 22, 2025Updated last year
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆792Dec 1, 2025Updated 2 months ago
- Some notes on Causal Inference, with examples in python☆156Feb 24, 2020Updated 6 years ago
- The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…☆183Nov 3, 2025Updated 3 months ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,220Oct 13, 2025Updated 4 months ago
- Tools for causal analysis☆1,079Mar 11, 2025Updated 11 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,439Jun 26, 2024Updated last year
- A Python package for modular causal inference analysis and model evaluations☆809Apr 6, 2025Updated 10 months ago
- A data index for learning causality.☆486Oct 25, 2023Updated 2 years ago
- Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆53Jan 8, 2022Updated 4 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆352May 13, 2023Updated 2 years ago
- A Python package for causal inference in quasi-experimental settings☆1,107Updated this week
- An R package for causal inference in time series☆1,808Sep 26, 2025Updated 5 months ago
- Causal Graphical Models in Python☆249Feb 13, 2023Updated 3 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆751Nov 23, 2022Updated 3 years ago
- Code for the Book Causal Inference in Python☆368Jan 23, 2024Updated 2 years ago
- PyMC educational resources☆2,072Dec 23, 2024Updated last year
- Python library for Causal AI☆3,166Feb 20, 2026Updated last week
- Causal Discovery in Python. Learning causality from data.☆1,552Feb 18, 2026Updated last week
- EconML/CausalML KDD 2021 Tutorial☆167Aug 23, 2023Updated 2 years ago
- Resources related to causality☆268Feb 19, 2024Updated 2 years ago
- Additional linear models including instrumental variable and panel data models that are missing from statsmodels.☆1,030Feb 4, 2026Updated 3 weeks ago
- ☆524Dec 16, 2024Updated last year
- ☆469Jun 9, 2024Updated last year
- A collection of Bayesian data analysis recipes using PyMC3☆561Oct 9, 2023Updated 2 years ago
- A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.☆281Jan 5, 2026Updated last month
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆689Aug 13, 2021Updated 4 years ago
- Bayesian Data Analysis course at Aalto☆2,253Jan 8, 2026Updated last month
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,017Updated this week
- Generalized Random Forests☆1,070Feb 19, 2026Updated last week
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆877Jun 15, 2020Updated 5 years ago
- Python package for causal inference using Bayesian structural time-series models.☆244Jul 30, 2020Updated 5 years ago
- Epidemiology analysis package☆152May 7, 2023Updated 2 years ago