{"id":18887147,"url":"https://github.com/thunlp-mt/rogo","last_synced_at":"2025-10-10T09:44:07.575Z","repository":{"id":203074886,"uuid":"708520723","full_name":"THUNLP-MT/ROGO","owner":"THUNLP-MT","description":"This repo contains the codes for our work “Restricted orthogonal gradient projection for continual learning”.","archived":false,"fork":false,"pushed_at":"2023-10-23T10:23:54.000Z","size":22,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":4,"default_branch":"main","last_synced_at":"2025-05-31T11:43:08.289Z","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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/THUNLP-MT.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}},"created_at":"2023-10-22T19:50:05.000Z","updated_at":"2025-05-07T13:30:04.000Z","dependencies_parsed_at":null,"dependency_job_id":"485e27d3-1b7b-43a5-9496-df61eb4a5bcf","html_url":"https://github.com/THUNLP-MT/ROGO","commit_stats":null,"previous_names":["thunlp-mt/rogo"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/THUNLP-MT/ROGO","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/THUNLP-MT%2FROGO","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/THUNLP-MT%2FROGO/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/THUNLP-MT%2FROGO/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/THUNLP-MT%2FROGO/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/THUNLP-MT","download_url":"https://codeload.github.com/THUNLP-MT/ROGO/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/THUNLP-MT%2FROGO/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274798365,"owners_count":25351944,"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","status":"online","status_checked_at":"2025-09-12T02:00:09.324Z","response_time":60,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":"2024-11-08T07:34:46.658Z","updated_at":"2025-10-10T09:44:02.532Z","avatar_url":"https://github.com/THUNLP-MT.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ROGO\nThis repo contains the codes for our work “[Restricted orthogonal gradient projection for continual learning](https://www.sciencedirect.com/science/article/pii/S2666651023000128)”.\n\n\n## Data Preparation\n\nThe dataset for PMNIST, CIFAR-100, and Mixture will be automatically downloaded. For the experiments on MiniImageNet, please download the [train_data](https://drive.google.com/file/d/1fm6TcKIwELbuoEOOdvxq72TtUlZlvGIm/view) and [test_data](https://drive.google.com/file/d/1RA-MluRWM4fqxG9HQbQBBVVjDddYPCri/view), and place them under the `data` folder.\n\n## Experiments\n\nThis repository currently contains experiments reported in the paper for Permuted MNIST, 10-split CIFAR-100, 20-split MiniImageNet and the Mixture datasets. All these experiments can be run using the following command:\n\n```\nbash run.sh\n```\n\n## Citation\n\n```\n@article{YANG202398,\ntitle = {Restricted orthogonal gradient projection for continual learning},\njournal = {AI Open},\nvolume = {4},\npages = {98-110},\nyear = {2023},\nissn = {2666-6510},\ndoi = {https://doi.org/10.1016/j.aiopen.2023.08.010},\nurl = {https://www.sciencedirect.com/science/article/pii/S2666651023000128},\nauthor = {Zeyuan Yang and Zonghan Yang and Yichen Liu and Peng Li and Yang Liu},\n}\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthunlp-mt%2Frogo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthunlp-mt%2Frogo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthunlp-mt%2Frogo/lists"}