{"id":20990637,"url":"https://github.com/wnjxyk/record","last_synced_at":"2025-03-13T12:17:42.150Z","repository":{"id":154800622,"uuid":"268239015","full_name":"WNJXYK/RECORD","owner":"WNJXYK","description":"Demo for the paper \"RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift\"","archived":false,"fork":false,"pushed_at":"2020-05-31T10:04:48.000Z","size":13,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-20T08:11:42.599Z","etag":null,"topics":[],"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/WNJXYK.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":"2020-05-31T08:28:34.000Z","updated_at":"2021-12-25T08:01:36.000Z","dependencies_parsed_at":null,"dependency_job_id":"40ddbc63-1e47-450a-81ee-6c3107b04759","html_url":"https://github.com/WNJXYK/RECORD","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/WNJXYK%2FRECORD","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WNJXYK%2FRECORD/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WNJXYK%2FRECORD/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WNJXYK%2FRECORD/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/WNJXYK","download_url":"https://codeload.github.com/WNJXYK/RECORD/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243401515,"owners_count":20285060,"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":[],"created_at":"2024-11-19T06:34:48.493Z","updated_at":"2025-03-13T12:17:42.124Z","avatar_url":"https://github.com/WNJXYK.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# RECORD\n\nThis is a demo for the paper: \"RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift\".\n \n##### Prerequisites\n\n* Python 3.7\n* Pytorch\n* scikit-learn\n* h5py\n* matplotlib\n\n##### Folders\n\n* src: Python source code.\n* data: Placeholder for the dataset. Please download the dataset from [Google Drive](https://drive.google.com/drive/folders/1rWSbgKLkBMI1ZeBDNaXBvnkDIwBP5X8U).\n* logs: Placeholder for the running logs.\n* images: Placeholder for the line charts.\n\n##### To Run\n\nFor example, you can run the following command in the root path:\n```\npython ./src/run.py\n```\nThe result will be saved in logs folder with a line chart saved in the images folder.\n\nIn this demo, we prepared four benchmark data sets for the distribution shift and three implements of semi-supervised learning methods. \nYou can also use command `python ./src/run.py -h` to list the usages.\n\nContact wnjxyk@gmail.com for more questions.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwnjxyk%2Frecord","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwnjxyk%2Frecord","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwnjxyk%2Frecord/lists"}