{"id":21450686,"url":"https://github.com/mattczyr/algorithmiccomposition","last_synced_at":"2025-03-17T02:24:47.234Z","repository":{"id":111827722,"uuid":"200542998","full_name":"MattCzyr/AlgorithmicComposition","owner":"MattCzyr","description":"Final project for Deep Listening (ARTS-4410) at RPI in Summer 2019","archived":false,"fork":false,"pushed_at":"2019-08-18T01:55:37.000Z","size":2443,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-23T12:15:51.891Z","etag":null,"topics":["algorithmic-composition","midi","python"],"latest_commit_sha":null,"homepage":"","language":"Python","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/MattCzyr.png","metadata":{"files":{"readme":"README.md","changelog":null,"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}},"created_at":"2019-08-04T21:23:57.000Z","updated_at":"2019-08-18T02:00:44.000Z","dependencies_parsed_at":"2023-06-04T02:45:30.242Z","dependency_job_id":null,"html_url":"https://github.com/MattCzyr/AlgorithmicComposition","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/MattCzyr%2FAlgorithmicComposition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MattCzyr%2FAlgorithmicComposition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MattCzyr%2FAlgorithmicComposition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MattCzyr%2FAlgorithmicComposition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MattCzyr","download_url":"https://codeload.github.com/MattCzyr/AlgorithmicComposition/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243960637,"owners_count":20375108,"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":["algorithmic-composition","midi","python"],"created_at":"2024-11-23T04:16:11.603Z","updated_at":"2025-03-17T02:24:47.197Z","avatar_url":"https://github.com/MattCzyr.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Algorithmic Composition\n\nFinal project for Deep Listening (ARTS-4410) at RPI in Summer 2019\n\nIn this project, I wanted to use algorithmic composition to create classical\npiano music by chopping up existing pieces by famous composers. I did this with\nthe help of the [piano-midi.de](http://www.piano-midi.de) dataset, a collection\nof hundreds of classical compositions by composers such as Mozart, Bach,\nBeethoven, and more, in MIDI format. I fetched all of these MIDI files then\ncreated a program that parses a user-defined subset of this data using\n[python-midi](https://github.com/vishnubob/python-midi) and successively chooses\nrandom tracks to splice together chunks of 20-50 notes. To keep things flowing\norganically, tracks are spliced together only at places where the pitches match\nup.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmattczyr%2Falgorithmiccomposition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmattczyr%2Falgorithmiccomposition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmattczyr%2Falgorithmiccomposition/lists"}