matteocourthoud/awesome-causal-inference
A curated list of causal inference libraries, courses, books, conferences, blogs, research papers, and tutorials.
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This repository aggregates resources for learning and applying causal inference, a subfield of machine learning focused on determining cause-and-effect relationships from data. It categorizes libraries, academic research, industry applications, tutorials, and practitioner guides. The list serves as a reference for researchers and practitioners interested in causal methods in ML and AI contexts.
Frequently asked
- What is matteocourthoud/awesome-causal-inference?
- A curated list of causal inference libraries, courses, books, conferences, blogs, research papers, and tutorials.
- Is awesome-causal-inference open source?
- Yes — matteocourthoud/awesome-causal-inference is open source, released under the MIT license.
- How popular is awesome-causal-inference?
- matteocourthoud/awesome-causal-inference has 1.2k stars on GitHub.
- Where can I find awesome-causal-inference?
- matteocourthoud/awesome-causal-inference is on GitHub at https://github.com/matteocourthoud/awesome-causal-inference.