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https://github.com/imirzadeh/awesome-causal-inference

A (concise) curated list of awesome Causal Inference resources.
https://github.com/imirzadeh/awesome-causal-inference

List: awesome-causal-inference

artificial-intelligence causal-inference causality machine-learning

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A (concise) curated list of awesome Causal Inference resources.

Host: GitHub
URL: https://github.com/imirzadeh/awesome-causal-inference
Owner: imirzadeh
Created: 2019-02-21T03:18:48.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2022-09-13T19:30:23.000Z (almost 2 years ago)
Last Synced: 2024-05-17T10:00:43.048Z (about 1 month ago)
Topics: artificial-intelligence, causal-inference, causality, machine-learning
Homepage:
Size: 12.7 KB
Stars: 206
Watchers: 9
Forks: 35
Open Issues: 0
Metadata Files:
- Readme: README.md

Lists

awesome-of-awesome-ml - awesome-causal-inference (by imirzadeh)
Awesome-Paper-List - Causal Inference
awesome-causal-inference - imirzadeh/awesome-causal-inference
awesome-interesting-topics-in-nlp - Resource
awesome-causality-in-nlp - awesome-causal-inference

README

        # Awesome Causal Inference

A curated list of awesome Causal Inference resources.   

The goal of this list is to serve a starting point for getting familiar with causality.

## Table of Contents

* **[Books](#books)**  

* **[Courses](#courses)**  

* **[Videos and Lectures](#videos-and-lectures)**    

* **[Tools](#tools)**  

----

### Books

1.  [The Book of Why](https://www.amazon.com/Book-Why-Science-Cause-Effect/dp/046509760X/) by Judea Pearl, Dana Mackenzie

2.  [Causal Inference Book (What If)](https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/) by Miguel Hernán, James Robins **FREE download**

3.  [Causal Inference in Statistics: A Primer](https://www.amazon.com/Causal-Inference-Statistics-Judea-Pearl/dp/1119186846/) by Judea Pearl, Madelyn Glymour, Nicholas P. Jewell

4.  [Elements of Causal Inference: Foundations and Learning Algorithms](https://mitpress.mit.edu/books/elements-causal-inference)  by  Jonas Peters, Dominik Janzing and Bernhard Schölkopf- **FREE download**

5.  [Counterfactuals and Causal Inference: Methods and Principles for Social Research](https://www.amazon.com/Counterfactuals-Causal-Inference-Principles-Analytical/dp/1107694167) by Stephen L. Morgan, Christopher Winship

6.  [Causal Inference Book](https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/) by Hernán MA, Robins JM **FREE download**

7.  [Causality: Models, Reasoning and Inference](https://www.amazon.com/Causality-Reasoning-Inference-Judea-Pearl/) by Judea Pearl

8.  [Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction](https://www.amazon.com/Causal-Inference-Statistics-Biomedical-Sciences/dp/0521885884/) by Guido W. Imbens and Donald B. Rubin

9.  [Causal Inference: The Mixtape](https://www.scunning.com/mixtape.html) by Scott Cunningham **FREE download**

10.  [Causal Inference for Data Science](https://www.manning.com/books/causal-inference-for-data-science) by Aleix Ruiz de Villa

---

### Courses

1. [Introduction to Causal Inference (Fall2020)](https://www.bradyneal.com/causal-inference-course) (Free)

2. [A Crash Course in Causality: Inferring Causal Effects from Observational Data](https://www.coursera.org/learn/crash-course-in-causality) (Free)

3. [Causal Inference with R - Introduction](https://www.datacamp.com/community/open-courses/causal-inference-with-r-introduction) (Free)

4. [Causal ML Mini Course](https://altdeep.ai/p/causal-ml-minicourse) (Free)

---

### Videos and Lectures

1. [Lectures on Causality: 4 Parts](https://www.youtube.com/watch?v=zvrcyqcN9Wo) by Jonas Peters

2. [Towards Causal Reinforcement Learning (CRL) - ICML'20 - Part I](https://slideslive.com/38930490/towards-causal-reinforcement-learning-crl-part-i?ref=speaker-22075-latest) By Elias Bareinboim

3. [Towards Causal Reinforcement Learning (CRL) - ICML'20 - Part II](https://slideslive.com/38930491/towards-causal-reinforcement-learning-part-ii?ref=speaker-22075-latest) By Elias Bareinboim

4. [On the Causal Foundations of AI](https://www.youtube.com/watch?v=fNuMHDrh6AY&t=31s) By Elias Bareinboim

5. [Judea Pearl: Causal Reasoning, Counterfactuals, and the Path to AGI | Lex Fridman Podcast #56](https://www.youtube.com/watch?v=pEBI0vF45ic) By Judea Pearl and Lex Fridman

6. [NeurIPS 2018 Workshop on Causal Learning](https://www.youtube.com/playlist?list=PLJscN9YDD1bu1dCKuXSV1qYmicx3g9t7A)

7. [Causal Inference Bootcamp](https://mattmasten.github.io/bootcamp/) by Matt Masten

---

### Tools

1. [DoWhy | Making causal inference easy (Python)](https://github.com/microsoft/dowhy)

2. [Ananke: A module for causal inference (Python)](https://ananke.readthedocs.io/en/latest/index.html)

3. [Causal ML: A Package for Uplift Modeling and Causal Inference with ML (Python)](https://github.com/uber/causalml)

4. [CausalNex: A toolkit for causal reasoning with Bayesian Networks (Python)](https://github.com/quantumblacklabs/causalnex)

5. [pgmpy: Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks](https://github.com/pgmpy/pgmpy)