Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
☆1,346Jan 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,086Updated this week
- Causal Inference in Python☆577Jun 21, 2025Updated 10 months ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,329Apr 8, 2026Updated 3 weeks ago
- Repository with code and slides for a tutorial on causal inference.☆586Sep 23, 2019Updated 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…☆184Nov 3, 2025Updated 5 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.
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,611Apr 20, 2026Updated last week
- Uplift modeling and causal inference with machine learning algorithms☆5,824Updated this week
- An index of algorithms for learning causality with data☆3,261Jan 22, 2025Updated last year
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆798Dec 1, 2025Updated 4 months ago
- Some notes on Causal Inference, with examples in python☆156Feb 24, 2020Updated 6 years ago
- Tools for causal analysis☆1,079Mar 11, 2025Updated last year
- Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆54Jan 8, 2022Updated 4 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,228Oct 13, 2025Updated 6 months ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆355Apr 15, 2026Updated 2 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A Python package for modular causal inference analysis and model evaluations☆812Apr 6, 2025Updated last year
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,462Jun 26, 2024Updated last year
- A data index for learning causality.☆488Oct 25, 2023Updated 2 years ago
- A Python package for causal inference in quasi-experimental settings☆1,137Updated this week
- Code for the Book Causal Inference in Python☆378Jan 23, 2024Updated 2 years ago
- An R package for causal inference in time series☆1,822Mar 31, 2026Updated last month
- Must-read papers and resources related to causal inference and machine (deep) learning☆751Nov 23, 2022Updated 3 years ago
- The GFORMULA macro implements the parametric g-formula in SAS. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…☆38Jan 22, 2026Updated 3 months ago
- EconML/CausalML KDD 2021 Tutorial☆167Aug 23, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Causal Graphical Models in Python☆251Feb 13, 2023Updated 3 years ago
- PyMC educational resources☆2,086Dec 23, 2024Updated last year
- Python Toolkit for Causal and Probabilistic Reasoning☆3,263Updated this week
- Causal Discovery in Python. Learning causality from data.☆1,581Apr 20, 2026Updated last week
- Resources related to causality☆268Feb 19, 2024Updated 2 years ago
- Causal Inference: What If. R and Stata code for Exercises☆94Mar 13, 2026Updated last month
- ☆471Jun 9, 2024Updated last year
- Causal Inference and Discovery in Python by Packt Publishing☆1,004Mar 2, 2026Updated last month
- Generalized Random Forests☆1,085Apr 21, 2026Updated last week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code used in the causality course (401-4632-15) at ETH Zurich.☆23May 21, 2019Updated 6 years ago
- Python package for causal inference using Bayesian structural time-series models.☆244Jul 30, 2020Updated 5 years ago
- A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.☆283Jan 5, 2026Updated 3 months ago
- ☆529Dec 16, 2024Updated last year
- Additional linear models including instrumental variable and panel data models that are missing from statsmodels.☆1,041Apr 6, 2026Updated 3 weeks ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆159Apr 12, 2023Updated 3 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆562Oct 9, 2023Updated 2 years ago