{"id":13688439,"url":"https://github.com/msuzen/looper","last_synced_at":"2025-12-25T20:11:43.018Z","repository":{"id":40267492,"uuid":"116258121","full_name":"msuzen/looper","owner":"msuzen","description":"A resource list for causality in statistics, data science and physics","archived":false,"fork":false,"pushed_at":"2025-10-02T05:27:04.000Z","size":917,"stargazers_count":266,"open_issues_count":1,"forks_count":32,"subscribers_count":11,"default_branch":"master","last_synced_at":"2025-10-02T07:17:31.886Z","etag":null,"topics":["bayesian-inference","causal","causal-discovery","causal-impact","causal-inference","causal-machine-learning","causal-models","causal-networks","causality","causality-algorithms","causality-analysis","causation","data-science","machine-learning","meta-learning","physics","statistical-inference","statistical-mechanics","statistical-physics","statistics"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/msuzen.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG","contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2018-01-04T12:34:11.000Z","updated_at":"2025-10-02T05:27:08.000Z","dependencies_parsed_at":"2023-02-15T18:10:48.905Z","dependency_job_id":"da2680b8-71ca-4f97-ae0f-b0379697334d","html_url":"https://github.com/msuzen/looper","commit_stats":null,"previous_names":[],"tags_count":15,"template":false,"template_full_name":null,"purl":"pkg:github/msuzen/looper","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/msuzen%2Flooper","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/msuzen%2Flooper/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/msuzen%2Flooper/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/msuzen%2Flooper/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/msuzen","download_url":"https://codeload.github.com/msuzen/looper/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/msuzen%2Flooper/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28036784,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-12-25T02:00:05.988Z","response_time":58,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bayesian-inference","causal","causal-discovery","causal-impact","causal-inference","causal-machine-learning","causal-models","causal-networks","causality","causality-algorithms","causality-analysis","causation","data-science","machine-learning","meta-learning","physics","statistical-inference","statistical-mechanics","statistical-physics","statistics"],"created_at":"2024-08-02T15:01:13.843Z","updated_at":"2025-12-25T20:11:43.012Z","avatar_url":"https://github.com/msuzen.png","language":null,"funding_links":[],"categories":["Others"],"sub_categories":[],"readme":"# looper : A resource list for causality in statistics, data science and physics  \n\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17247981.svg)](https://doi.org/10.5281/zenodo.17247981)    \n\n\u003cp align=\"left\"\u003e\n  \u003cimg src=\"assets/pearl_penrose.jpg\" width=\"250\" title=\"Penrose meets Pearl (2021)\"\u003e\n  \u003csmall\u003ePenrose meets Pearl, (c) 2021\u003c/small\u003e\n\u003c/p\u003e\n\n\nOur honour to be mentioned by Judea Pearl on [twitter](https://x.com/yudapearl/status/1388556564550717442).\n\n```\n \n      Aspiration to learn everything from data alone has \n      kept the ML community away from science.\n      \n      Judea Pearl\n      \n```\n\nA resource list, code snippets or small scale software solutions for causal analysis in different areas. The name is inspired from the movie [looper](https://en.wikipedia.org/wiki/Looper_(film)), which has a premise of time-like loops, probably the most complex causal subject from physics point of view.\n\nThe main entry is a markdown file as follows, any looper specific internal examples are lined there too : \n\n* [A resource list for causality in statistics, data science and physics](looper.md)\n  Other  fields of course such as econometrics, epidemiology and many more.\n\n## Looper Nuggets\n\nLooper Nuggets mimick a glossary of terms and concepts in causal inference, though they are entry to \nunderstanding concepts in pedagogical manner. See the list of\nthem [here](nuggets/looper_nuggets.md).\n\n## License\n\nThis repository and all contributions are licensed under\n[![License: CC BY 4.0](https://i.creativecommons.org/l/by/4.0/88x31.png)](https://creativecommons.org/licenses/by/4.0/)\n\n## Citing the repo\n\nPlease attribute this work as follows (bibtex) and check for the newest version,\n\n```\n@manual{suzen18a,\n  title        = {A resource list for causality in statistics, data science and physics},\n  author       = {Mehmet, Süzen},\n  year         = {2025},\n  version      = {v0.3.1},\n  doi          = {10.5281/zenodo.17247981},\n  url          = {https://doi.org/10.5281/zenodo.17247981},\n}\n```\n\nIf you are embedding specific release, use the version link, for example for `https://github.com/msuzen/looper/tree/v0.1.2`\nin `howpublished` tag.\n\n## Contributions\n\nPlease send a pull request or create an issue for suggestions or codes. See [Basic how to contribute guide](contribution_guide.md)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmsuzen%2Flooper","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmsuzen%2Flooper","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmsuzen%2Flooper/lists"}