Resources related to causality
☆270Feb 19, 2024Updated 2 years ago
Alternatives and similar repositories for awesome-causality
Users that are interested in awesome-causality are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- List of python packages for causal inference☆17Oct 24, 2021Updated 4 years ago
- An index of algorithms for learning causality with data☆3,270Jan 22, 2025Updated last year
- A data index for learning causality.☆492Oct 25, 2023Updated 2 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆800Dec 1, 2025Updated 6 months ago
- ☆11May 12, 2020Updated 6 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.
- lightly opinionated LaTeX DAGs in R☆41Jun 12, 2023Updated 3 years ago
- Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18☆15Sep 15, 2018Updated 7 years ago
- A paper about causal inference with Bayesian modeling☆15Jan 21, 2020Updated 6 years ago
- A (concise) curated list of awesome Causal Inference resources.☆262Sep 13, 2022Updated 3 years ago
- A companion for the Causal Artificial Intelligence book.☆16Sep 24, 2025Updated 9 months ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,387Jun 9, 2026Updated 2 weeks ago
- Causal and probabilistic reasoning with continuous time dynamical systems☆21Aug 29, 2025Updated 10 months ago
- A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.☆284Jan 5, 2026Updated 5 months ago
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.☆415Sep 10, 2020Updated 5 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.
- ☆471Jun 9, 2024Updated 2 years ago
- Simulation and power analysis of panel/hierarchical data that allows for independently generating effects by cross-section (between-subje…☆18May 14, 2025Updated last year
- A resource list for causality in statistics, data science and physics☆267Jan 28, 2026Updated 5 months ago
- The simMixedDAG package enables simulation of "real life" datasets from DAGs☆13Oct 12, 2019Updated 6 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆750Nov 23, 2022Updated 3 years ago
- Tools for causal analysis☆1,080Mar 11, 2025Updated last year
- ☆17Jan 10, 2020Updated 6 years ago
- A curated list of Causality in Computer Vision☆242Oct 23, 2021Updated 4 years ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,175Jun 22, 2026Updated last week
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,350Jan 8, 2022Updated 4 years ago
- Uplift modeling and causal inference with machine learning algorithms☆5,882Jun 20, 2026Updated last week
- Curated research at the intersection of causal inference and natural language processing.☆817Feb 1, 2024Updated 2 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 8 months ago
- Causal Inference & Deep Learning, MIT IAP 2018☆90Jan 18, 2018Updated 8 years ago
- "Oh my God! — it's full of stars!"☆12Apr 20, 2018Updated 8 years ago
- ☆28Aug 7, 2025Updated 10 months ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆115May 1, 2021Updated 5 years ago
- Data and code used in Yarkoni (2019) -- "The Generalizability Crisis"☆13Nov 22, 2019Updated 6 years 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.
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,683Jun 22, 2026Updated last week
- Generate bib (.bib) bibliography files on the fly☆11Jan 3, 2020Updated 6 years ago
- Making data science tools count toward tenure 👩🏫👨🏫☆10Apr 19, 2019Updated 7 years ago
- Code used in the causality course (401-4632-15) at ETH Zurich.☆23May 21, 2019Updated 7 years ago
- Repo to keep track of all the links that have been shared about Datacamp alternatives☆22Apr 17, 2019Updated 7 years ago
- Python package for the simulation and estimation of generalized Roy model☆22Oct 28, 2024Updated last year
- An R package that makes working with U.S. ZIP codes painless.☆82Apr 24, 2026Updated 2 months ago