{"id":17921264,"url":"https://github.com/francois-rozet/papers-101","last_synced_at":"2025-07-19T18:08:27.191Z","repository":{"id":204270343,"uuid":"711460765","full_name":"francois-rozet/papers-101","owner":"francois-rozet","description":"Implementation of papers in 101 lines of code.","archived":false,"fork":false,"pushed_at":"2023-11-12T14:22:42.000Z","size":6,"stargazers_count":18,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-06-30T13:53:35.646Z","etag":null,"topics":["101","deep-learning","generative","machine-learning","papers","research"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/francois-rozet.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}},"created_at":"2023-10-29T10:41:27.000Z","updated_at":"2024-07-15T14:23:32.000Z","dependencies_parsed_at":"2023-12-20T14:32:33.087Z","dependency_job_id":"b9253b6b-6ff7-42e6-a185-0b20ba6fd7f4","html_url":"https://github.com/francois-rozet/papers-101","commit_stats":{"total_commits":5,"total_committers":1,"mean_commits":5.0,"dds":0.0,"last_synced_commit":"a8209c2c65840dd0028e841686d6c64c58fbd6fa"},"previous_names":["francois-rozet/papers-101"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/francois-rozet/papers-101","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/francois-rozet%2Fpapers-101","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/francois-rozet%2Fpapers-101/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/francois-rozet%2Fpapers-101/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/francois-rozet%2Fpapers-101/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/francois-rozet","download_url":"https://codeload.github.com/francois-rozet/papers-101/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/francois-rozet%2Fpapers-101/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265982792,"owners_count":23859573,"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":["101","deep-learning","generative","machine-learning","papers","research"],"created_at":"2024-10-28T20:32:33.574Z","updated_at":"2025-07-19T18:08:27.171Z","avatar_url":"https://github.com/francois-rozet.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Papers in 101 lines of code\n\nImplementation of machine learning related papers and algorithms in (more or less) 101 lines of code.\n\n\u003e Inspired by the great [Papers-in-100-Lines-of-Code](https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code) by [Maxime Vandegar](https://github.com/MaximeVandegar).\n\n## Implemented papers\n\n##### Flow Matching [[code](flow_matching)]\n\n\u003e Flow Matching for Generative Modeling (Lipman et al., 2023) \u003c/br\u003e\n\u003e https://openreview.net/forum?id=PqvMRDCJT9t\n\n##### Free-form Flows [[code](free_form_flows)]\n\n\u003e Free-form Flows: Make Any Architecture a Normalizing Flow (Draxler et al., 2023) \u003c/br\u003e\n\u003e https://arxiv.org/abs/2310.16624\n\n\u003e Maximum Likelihood Training of Autoencoders (Sorrensonet al., 2023) \u003c/br\u003e\n\u003e https://arxiv.org/abs/2306.01843\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffrancois-rozet%2Fpapers-101","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffrancois-rozet%2Fpapers-101","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffrancois-rozet%2Fpapers-101/lists"}