Causal Inference and Discovery in Python by Packt Publishing
☆1,026Jul 15, 2026Updated 3 weeks ago
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☆387Jan 23, 2024Updated 2 years ago
- ☆533Dec 16, 2024Updated last year
- A Python package for causal inference in quasi-experimental settings☆1,174Updated this week
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,253Updated this week
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆162Jul 30, 2026Updated last week
- 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.
- Causal Discovery in Python. Learning causality from data.☆1,669Jul 11, 2026Updated last month
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆85Dec 20, 2024Updated last year
- A curated list of causal inference libraries, resources, and applications.☆1,184Apr 21, 2026Updated 3 months ago
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆92Jan 25, 2022Updated 4 years ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,428Jul 8, 2026Updated last month
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,749Updated this week
- 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 library integrating LLM capabilities to support causal analyses☆314Jan 6, 2026Updated 7 months ago
- [Experimental] Global causal discovery algorithms☆114Jul 13, 2026Updated 3 weeks ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Uplift modeling and causal inference with machine learning algorithms☆5,951Updated this week
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,351Jan 8, 2022Updated 4 years ago
- Active Bayesian Causal Inference (Neurips'22)☆62Jul 29, 2024Updated 2 years ago
- DoubleML - Double Machine Learning in Python☆768Updated this week
- Trustworthy AI related projects☆1,131Jun 1, 2026Updated 2 months ago
- ☆27Mar 24, 2025Updated last year
- A resource list for causality in statistics, data science and physics☆267Aug 1, 2026Updated last week
- Causal discovery algorithms and tools for implementing new ones☆253Jul 22, 2026Updated 2 weeks ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆88Mar 29, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Python package for causal discovery based on LiNGAM.☆497Jul 22, 2026Updated 2 weeks ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,236Oct 13, 2025Updated 9 months ago
- Makes algorithms/code in Tetrad available in Python via JPype☆99Updated this week
- causal-falsify: A Python library with algorithms for falsifying the unconfoundedness assumption in a composite dataset from multiple sour…☆40Mar 6, 2026Updated 5 months ago
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆17May 20, 2025Updated last year
- A Causal AI package for causal graphs.☆61Aug 3, 2026Updated last week
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,703Jan 14, 2026Updated 6 months ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,472Updated this week
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆59May 17, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆637Jul 23, 2026Updated 2 weeks ago
- Causal Discovery in R☆24Updated this week
- Figures and code examples from Bayesian Analysis with Python (third edition)☆252Aug 26, 2025Updated 11 months ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆751Nov 23, 2022Updated 3 years ago
- An experimental language for causal reasoning☆275Jul 24, 2026Updated 2 weeks ago
- An index of algorithms for learning causality with data☆3,276Jan 22, 2025Updated last year
- Causal RL Environments Simulator☆38Aug 3, 2026Updated last week