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looper : A resource list for causality in statistics, data science and physics

Our honour to be mentioned by Judea Pearl on twitter.

      Aspiration to learn everything from data alone has 
      kept the ML community away from science.
      Judea Pearl

A resource list, code snippets or small scale software solutions for causal analysis in different areas. The name is inspired from the movie looper, which has a premise of time-like loops, probably the most complex causal subject from physics point of view.

The main entry is a markdown file as follows, any looper specific internal examples are lined there too :


This repository and all contributions are licensed under License: CC BY 4.0

Citing the repo

Please attribute this work as follows

  author = {Mehmet S{\"u}zen et. al.},
  title = {A resource list for causality in statistics, data science and physics},
  year = {2018},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{}},

If you are embedding specific release, use the version link, for example for in howpublished tag.


Please send a pull request or create an issue for suggestions or codes. See Basic how to contribute guide