{"id":18983118,"url":"https://github.com/rosettacommons/rosetta-dl","last_synced_at":"2026-02-27T18:33:04.615Z","repository":{"id":69286579,"uuid":"380350401","full_name":"RosettaCommons/Rosetta-DL","owner":"RosettaCommons","description":"A bundle of deep-learning packages for biomolecular structure prediction and design contributed to the Rosetta Commons","archived":false,"fork":false,"pushed_at":"2022-10-12T12:51:23.000Z","size":17,"stargazers_count":36,"open_issues_count":1,"forks_count":7,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-11-10T18:13:30.937Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/RosettaCommons.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2021-06-25T20:46:10.000Z","updated_at":"2025-09-10T09:28:14.000Z","dependencies_parsed_at":null,"dependency_job_id":"489a9681-c852-4a47-a9ce-5aa86d228e89","html_url":"https://github.com/RosettaCommons/Rosetta-DL","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/RosettaCommons/Rosetta-DL","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RosettaCommons%2FRosetta-DL","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RosettaCommons%2FRosetta-DL/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RosettaCommons%2FRosetta-DL/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RosettaCommons%2FRosetta-DL/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RosettaCommons","download_url":"https://codeload.github.com/RosettaCommons/Rosetta-DL/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RosettaCommons%2FRosetta-DL/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29907806,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-27T17:28:36.873Z","status":"ssl_error","status_checked_at":"2026-02-27T17:28:20.970Z","response_time":57,"last_error":"SSL_read: 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":[],"created_at":"2024-11-08T16:15:56.534Z","updated_at":"2026-02-27T18:33:04.598Z","avatar_url":"https://github.com/RosettaCommons.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Rosetta-DL\nA bundle of deep-learning packages for biomolecular structure prediction and design contributed to the [Rosetta Commons](https://www.rosettacommons.org).\n\nThe packages listed below are provided by contributors to the Rosetta Commons for free for non-commercial use under the [Rosetta-DL Non-Commercial Licensing Agreement](https://github.com/RosettaCommons/Rosetta-DL/blob/main/LICENSE.md) or a more permissive license. \n\nFor commercial licensing of this bundle, please contact the University of Washington CoMotion (license@uw.edu), which manages these packages on behalf of the Rosetta Commons member institutions. Licensing revenue supports the Rosetta Commons research community by funding conferences, workshops, summer interns and post-baccalaureate scholars, mini-grants, user support, documentation and code infrastructure and testing.\n\n# Rosetta-DL packages\n1. [RoseTTAFold](https://github.com/RosettaCommons/RoseTTAFold) - Protein folding - Code uses MIT license, data and weights use Rosetta-DL license\n2. [DeepAb](https://github.com/RosettaCommons/DeepAb) - Antibody structure prediction - Code, data, and weights use Rosetta-DL license\n3. [MaSIF](https://github.com/LPDI-EPFL/masif) - Molecular surface interaction fingerprints - MIT license\n4. [trRosetta2](https://github.com/RosettaCommons/trRosetta2) - Protein folding by Baker lab in CASP14 - MIT license\n5. [Protein-Seq-Des](https://github.com/ProteinDesignLab/protein_seq_des) - Protein sequence design from a learned potential - BSD3 license\n6. [FvHallucinator](https://github.com/RosettaCommons/FvHallucinator) - Hallucination of antibody structures - Rosetta-DL license\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frosettacommons%2Frosetta-dl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frosettacommons%2Frosetta-dl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frosettacommons%2Frosetta-dl/lists"}