{"id":18080588,"url":"https://github.com/anskarl/lomrf","last_synced_at":"2025-05-09T00:10:02.076Z","repository":{"id":17369223,"uuid":"20141088","full_name":"anskarl/LoMRF","owner":"anskarl","description":"LoMRF is an open-source implementation of Markov Logic Networks","archived":false,"fork":false,"pushed_at":"2024-09-07T19:50:58.000Z","size":18365,"stargazers_count":84,"open_issues_count":0,"forks_count":18,"subscribers_count":8,"default_branch":"develop","last_synced_at":"2025-05-09T00:09:53.993Z","etag":null,"topics":["graphical-models","inference","logic","machine-learning","probabilistic-programming","scala"],"latest_commit_sha":null,"homepage":"https://anskarl.github.io/LoMRF","language":"Scala","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/anskarl.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE.TXT","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}},"created_at":"2014-05-24T22:29:28.000Z","updated_at":"2025-04-22T10:24:19.000Z","dependencies_parsed_at":"2024-11-18T16:50:56.151Z","dependency_job_id":"e029c5fa-118d-4412-887a-6bd99d9c68f0","html_url":"https://github.com/anskarl/LoMRF","commit_stats":null,"previous_names":[],"tags_count":15,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anskarl%2FLoMRF","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anskarl%2FLoMRF/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anskarl%2FLoMRF/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anskarl%2FLoMRF/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/anskarl","download_url":"https://codeload.github.com/anskarl/LoMRF/tar.gz/refs/heads/develop","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253166521,"owners_count":21864482,"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","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":["graphical-models","inference","logic","machine-learning","probabilistic-programming","scala"],"created_at":"2024-10-31T13:08:55.408Z","updated_at":"2025-05-09T00:10:02.053Z","avatar_url":"https://github.com/anskarl.png","language":"Scala","readme":"[![Build](https://github.com/anskarl/lomrf/workflows/build/badge.svg?branch=develop)](https://github.com/anskarl/LoMRF/tree/develop)\n\n\u003cpre\u003e\n    o                        o     o   o         o\n    |             o          |     |\\ /|         | /\n    |    o-o o--o    o-o  oo |     | O |  oo o-o OO   o-o o   o\n    |    | | |  | | |    | | |     |   | | | |   | \\  | |  \\ /\n    O---oo-o o--O |  o-o o-o-o     o   o o-o-o   o  o o-o   o\n                |\n             o--o\n    o--o              o               o--o       o    o\n    |   |             |               |    o     |    |\n    O-Oo   oo o-o   o-O o-o o-O-o     O-o    o-o |  o-O o-o\n    |  \\  | | |  | |  | | | | | |     |    | |-' | |  |  \\\n    o   o o-o-o  o  o-o o-o o o o     o    | o-o o  o-o o-o\n\n    Logical Markov Random Fields.\n\u003c/pre\u003e\n\n# LoMRF: Logical Markov Random Fields\n\nLoMRF is an open-source implementation of [Markov Logic Networks](https://en.wikipedia.org/wiki/Markov_logic_network) (MLNs) written in [Scala programming language](http://scala-lang.org).\n\n## Features overview:\n\n1. Parallel grounding algorithm based on [Akka Actors library](http://akka.io).\n2. Marginal (MC-SAT) and MAP (MaxWalkSAT and LP-relaxed Integer Linear Programming) inference (**lomrf infer**).\n3. Batch and on-line Weight Learning (Max-Margin, AdaGrad and CDA) (**lomrf wlearn**).\n4. On-line Structure Learning (OSL and OSLa) (**lomrf slearn**).\n5. MLN knowledge base compilation (**lomrf compile**):\n  * Predicate completion.\n  * Clausal form transformation.\n  * Replacement of functions with utility predicates and vice versa.\n  * Reads and produces [Alchemy](http://alchemy.cs.washington.edu/alchemy1.html) compatible MLN files.\n6. Can export ground MRF in various formats (**lomrf export**).\n7. Can compare MLN theories (**lomrf diff**).\n8. Online supervision completion on semi-supervised training sets [*currently experimental*] (**lomrf supervision**)\n\n\n## Documentation\n\nLatest [documentation](docs/index.md).\n\n## Contributions\n\nContributions are welcome, for details see [CONTRIBUTING.md](CONTRIBUTING.md).\n\n## License\n\nCopyright (c) 2014 - 2019 Anastasios Skarlatidis and Evangelos Michelioudakis\n\nLoMRF is licensed under the Apache License, Version 2.0: [https://www.apache.org/licenses/LICENSE-2.0](https://www.apache.org/licenses/LICENSE-2.0)\n\n## Reference in Scientific Publications\n\nPlease use the following BibTex entry when you cite LoMRF in your papers:\n```\n@misc{LoMRF,\n\tauthor = {Anastasios Skarlatidis and Evangelos Michelioudakis},\n\ttitle = {{Logical Markov Random Fields (LoMRF): an open-source implementation of Markov Logic Networks}},\n\turl = {https://github.com/anskarl/LoMRF},\n\tyear = {2014}\n}\n```","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanskarl%2Flomrf","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanskarl%2Flomrf","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanskarl%2Flomrf/lists"}