Code for the Book Causal Inference in Python
☆390Jan 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☆1,029Jul 15, 2026Updated last month
- 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
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,354Jan 8, 2022Updated 4 years ago
- A Python package for causal inference in quasi-experimental settings☆1,180Updated this week
- A curated list of causal inference libraries, resources, and applications.☆1,187Apr 21, 2026Updated 4 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.
- DoubleML - Double Machine Learning in Python☆778Aug 18, 2026Updated last week
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,772Updated this week
- This project introduces Causal AI and how it can drive business value.☆56Sep 6, 2024Updated last year
- A Python package for modular causal inference analysis and model evaluations☆834May 26, 2026Updated 3 months ago
- Uplift modeling and causal inference with machine learning algorithms☆5,978Aug 20, 2026Updated last week
- Causal Discovery in Python. Learning causality from data.☆1,680Jul 11, 2026Updated last month
- Mis proyectos de marketing aplicando AI☆11Oct 31, 2025Updated 9 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…☆8,291Updated this week
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆808Dec 1, 2025Updated 8 months 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.
- Syllabus and course material of "Online Data Collection and Management" (oDCM) - learn how to collect web data for your empirical researc…☆15Mar 5, 2026Updated 5 months ago
- Causal Inference in Python☆578Jun 21, 2025Updated last year
- Unstructured Code with interesting analysis☆36Oct 17, 2024Updated last year
- Materials for Econ 5253 Data Science for Economists course at U of Oklahoma☆22May 6, 2025Updated last year
- Synthetic difference in differences for Python☆88Apr 4, 2024Updated 2 years ago
- A simple to use AB testing framework that lets anyone perform bayesian data analysis☆21Oct 15, 2024Updated last year
- A python module for the synthetic control method☆84Jan 4, 2026Updated 7 months ago
- A multiverse of Prophet models for timeseries☆83May 19, 2026Updated 3 months ago
- A flexible python package for cost-aware uplift modelling.☆42Jan 12, 2026Updated 7 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆19Mar 22, 2022Updated 4 years ago
- This is the repository for the Python library mlsynth☆60Updated this week
- ☆27Oct 14, 2024Updated last year
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆28Feb 14, 2023Updated 3 years ago
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,711Jan 14, 2026Updated 7 months ago
- Source repository for third edition of "Resampling: The New Statistics"☆14Aug 8, 2026Updated 3 weeks ago
- Winning Solution for the M5 Competition for Uncertainty Forecasting☆10May 25, 2023Updated 3 years ago
- ☆14Nov 30, 2023Updated 2 years ago
- Developing Hierarchical Models for Sports Analytics☆21Feb 8, 2025Updated last year
- 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.
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks