{"id":17996832,"url":"https://github.com/pkmital/dance2dance","last_synced_at":"2025-03-26T04:30:55.489Z","repository":{"id":65805495,"uuid":"127484880","full_name":"pkmital/dance2dance","owner":"pkmital","description":"Discrete Figures AI: Seq2Seq of Dance Data (Mikiko + Daito Manabe + Kyle McDonald)","archived":false,"fork":false,"pushed_at":"2022-10-17T22:14:14.000Z","size":49,"stargazers_count":60,"open_issues_count":0,"forks_count":10,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-03-21T05:22:13.500Z","etag":null,"topics":["ai","dance","learning","machine","seq2seq"],"latest_commit_sha":null,"homepage":"","language":"Python","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/pkmital.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}},"created_at":"2018-03-31T00:24:20.000Z","updated_at":"2024-09-23T04:04:10.000Z","dependencies_parsed_at":"2023-02-11T04:25:11.061Z","dependency_job_id":null,"html_url":"https://github.com/pkmital/dance2dance","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pkmital%2Fdance2dance","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pkmital%2Fdance2dance/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pkmital%2Fdance2dance/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pkmital%2Fdance2dance/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pkmital","download_url":"https://codeload.github.com/pkmital/dance2dance/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245589171,"owners_count":20640239,"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":["ai","dance","learning","machine","seq2seq"],"created_at":"2024-10-29T21:16:00.564Z","updated_at":"2025-03-26T04:30:55.113Z","avatar_url":"https://github.com/pkmital.png","language":"Python","funding_links":[],"categories":["Projects, Demos \u0026 Installations"],"sub_categories":["Design, Drawing \u0026 Web Surfaces"],"readme":"# dance2dance\nDiscrete Figures AI: Seq2Seq of Dance Data (Mikiko + Daito Manabe + Kyle McDonald)\n\nThis repo contains the code I developed for a custom seq2seq model to encode / decode motion capture data for the Discrete Figures performance in 2018 at Gray Area, San Francisco, CA. For more information on the technical aspects, please refer to Kyle McDonald's [medium post](https://medium.com/@kcimc/discrete-figures-7d9e9c275c47)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpkmital%2Fdance2dance","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpkmital%2Fdance2dance","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpkmital%2Fdance2dance/lists"}