{"id":20644675,"url":"https://github.com/epistasislab/omnirep","last_synced_at":"2026-02-06T05:03:54.082Z","repository":{"id":74012073,"uuid":"168386404","full_name":"EpistasisLab/OMNIREP","owner":"EpistasisLab","description":"The OMNIREP algorithm: Coevolving encodings and representations","archived":false,"fork":false,"pushed_at":"2022-06-09T09:57:49.000Z","size":814,"stargazers_count":2,"open_issues_count":0,"forks_count":2,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-07-18T19:19:15.104Z","etag":null,"topics":["automation","coevoluton","evolutionary-algorithms","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/EpistasisLab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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}},"created_at":"2019-01-30T17:39:54.000Z","updated_at":"2025-06-25T02:13:16.000Z","dependencies_parsed_at":"2024-06-21T18:04:25.943Z","dependency_job_id":null,"html_url":"https://github.com/EpistasisLab/OMNIREP","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/EpistasisLab/OMNIREP","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EpistasisLab%2FOMNIREP","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EpistasisLab%2FOMNIREP/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EpistasisLab%2FOMNIREP/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EpistasisLab%2FOMNIREP/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/EpistasisLab","download_url":"https://codeload.github.com/EpistasisLab/OMNIREP/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EpistasisLab%2FOMNIREP/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29151611,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-06T02:39:25.012Z","status":"ssl_error","status_checked_at":"2026-02-06T02:37:22.784Z","response_time":59,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["automation","coevoluton","evolutionary-algorithms","python"],"created_at":"2024-11-16T16:17:13.937Z","updated_at":"2026-02-06T05:03:54.063Z","avatar_url":"https://github.com/EpistasisLab.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# The OMNIREP algorithm: Coevolving encodings and representations\n\nCode accompanying the papers: \n\n[M. Sipper and J. H. Moore, \"OMNIREP: Originating meaning by coevolving encodings and representations\", *Memetic Computing*, 2019](https://drive.google.com/file/d/1eCLmAgj-pSk6KcRILPDoYSYjNP2KZyn-/view).\n\n[M. Sipper, J. H. Moore, and R. J. Urbanowicz, Coevolving Artistic Images Using OMNIREP​, In: Romero J., Ekárt A., Martins T., Correia J. (eds) Artificial Intelligence in Music, Sound, Art and Design. EvoMUSART 2020, pp. 165-178. Lecture Notes in Computer Science, vol. 12103. Springer, Cham](https://drive.google.com/open?id=1H185EUWubWW1xJu2ZWb2kAXDRgf6WhQ_).\n\n[M. Sipper, J. H. Moore, and R. J. Urbanowicz, New pathways in coevolutionary computation, Genetic Programming Theory and Practice XVII (GPTP 2019​), Springer Nature Switzerland AG, 2020](https://drive.google.com/file/d/1dkTRJyTUS3fQF0ibertHoM8wscJVgGXS/view?usp=sharing).\n\nIf you wish to cite this work:\n```\n@article{sipper2019omnirep,\n  title={OMNIREP: originating meaning by coevolving encodings and representations},\n  author={Sipper, Moshe and Moore, Jason H},\n  journal={Memetic computing},\n  volume={11},\n  number={3},\n  pages={251--261},\n  year={2019},\n  publisher={Springer}\n}\n\n@inproceedings{sipper2020coevolving,\n  title={Coevolving Artistic Images Using OMNIREP.},\n  author={Sipper, Moshe and Moore, Jason H and Urbanowicz, Ryan J},\n  booktitle={EvoMUSART},\n  pages={165--178},\n  year={2020}\n}\n\n@article{sipper2020new,\n  title={New Pathways in Coevolutionary Computation},\n  author={Sipper, Moshe and Moore, Jason H and Urbanowicz, Ryan J},\n  journal={Genetic Programming Theory and Practice XVII},\n  pages={295},\n  year={2020},\n  publisher={Springer Nature}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepistasislab%2Fomnirep","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fepistasislab%2Fomnirep","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepistasislab%2Fomnirep/lists"}