Causal Inference and Discovery in Python by Packt Publishing
☆1,004Mar 2, 2026Updated last month
Alternatives and similar repositories for Causal-Inference-and-Discovery-in-Python
Users that are interested in Causal-Inference-and-Discovery-in-Python are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the Book Causal Inference in Python☆378Jan 23, 2024Updated 2 years ago
- A Python package for causal inference in quasi-experimental settings☆1,137Updated this week
- ☆529Dec 16, 2024Updated last year
- 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 Discovery in Python. Learning causality from data.☆1,581Apr 20, 2026Updated last week
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆162Mar 2, 2026Updated last month
- A curated list of causal inference libraries, resources, and applications.☆1,135Apr 21, 2026Updated last week
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆93Jan 25, 2022Updated 4 years ago
- 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
- 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
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Mar 1, 2023Updated 3 years ago
- [Experimental] Global causal discovery algorithms☆112Apr 13, 2026Updated 2 weeks ago
- Uplift modeling and causal inference with machine learning algorithms☆5,824Updated this week
- 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
- 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.
- Active Bayesian Causal Inference (Neurips'22)☆60Jul 29, 2024Updated last year
- ☆27Mar 24, 2025Updated last year
- DoubleML - Double Machine Learning in Python☆729Apr 20, 2026Updated last week
- Trustworthy AI related projects☆1,116Nov 13, 2025Updated 5 months ago
- A resource list for causality in statistics, data science and physics☆267Jan 28, 2026Updated 3 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆86Mar 29, 2021Updated 5 years ago
- Python package for causal discovery based on LiNGAM.☆481Mar 2, 2026Updated last month
- Makes algorithms/code in Tetrad available in Python via JPype☆95Updated this week
- 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
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Causal discovery algorithms and tools for implementing new ones☆249Jul 10, 2025Updated 9 months ago
- A Causal AI package for causal graphs.☆60Mar 4, 2026Updated last month
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆59May 17, 2025Updated 11 months ago
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,649Jan 14, 2026Updated 3 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,462Jun 26, 2024Updated last year
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆625Mar 7, 2026Updated last month
- Figures and code examples from Bayesian Analysis with Python (third edition)☆242Aug 26, 2025Updated 8 months ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆751Nov 23, 2022Updated 3 years ago
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆17May 20, 2025Updated 11 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- An index of algorithms for learning causality with data☆3,261Jan 22, 2025Updated last year
- An experimental language for causal reasoning☆265Apr 13, 2026Updated 2 weeks ago
- 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☆926Mar 16, 2026Updated last month
- AutoML for causal inference.☆240Dec 18, 2024Updated last year
- Causal Inference in Python☆577Jun 21, 2025Updated 10 months ago
- A Python package for modular causal inference analysis and model evaluations☆812Apr 6, 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 5 months ago