looper

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

The looper is aim at providing a resource list, code snippets or small scale software solutions for causal analysis in different areas. The main entry is as follows:

• A resource list for causality in statistics, data science and physics Other fields of course such as econometrics, epidemiology and many more.

License

This repository and all contributions are licensed under

Citing the repo

Please attribute this work as follows

@misc{suezen2018a,
  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{https://github.com/msuzen/looper}},
}

If you are embedding specific release, use the version link, for example for https://github.com/msuzen/looper/tree/v0.1.2 in howpublished tag.

Contributions

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