{"id":15036022,"url":"https://github.com/tata1661/fsl-mate","last_synced_at":"2025-05-14T11:10:59.967Z","repository":{"id":37719318,"uuid":"250817570","full_name":"tata1661/FSL-Mate","owner":"tata1661","description":"FSL-Mate: A collection of resources for few-shot learning (FSL).","archived":false,"fork":false,"pushed_at":"2024-06-18T00:02:06.000Z","size":9421,"stargazers_count":1739,"open_issues_count":3,"forks_count":292,"subscribers_count":41,"default_branch":"master","last_synced_at":"2025-04-09T03:10:02.106Z","etag":null,"topics":["deep-learning","few-shot","few-shot-learning","few-shot-paper","few-shot-papers","low-shot","meta-learning","one-shot-learning","paddlepaddle","paper","papers"],"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/tata1661.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":"2020-03-28T14:37:40.000Z","updated_at":"2025-04-04T19:53:14.000Z","dependencies_parsed_at":"2022-07-14T00:50:39.126Z","dependency_job_id":"f0cd1337-2e00-43bd-a5c1-30062fe075d0","html_url":"https://github.com/tata1661/FSL-Mate","commit_stats":{"total_commits":81,"total_committers":13,"mean_commits":6.230769230769231,"dds":0.7407407407407407,"last_synced_commit":"a51429ed3694202e51bff28e1e1cd95e79dfdb98"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tata1661%2FFSL-Mate","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tata1661%2FFSL-Mate/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tata1661%2FFSL-Mate/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tata1661%2FFSL-Mate/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tata1661","download_url":"https://codeload.github.com/tata1661/FSL-Mate/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247968370,"owners_count":21025823,"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":["deep-learning","few-shot","few-shot-learning","few-shot-paper","few-shot-papers","low-shot","meta-learning","one-shot-learning","paddlepaddle","paper","papers"],"created_at":"2024-09-24T20:29:56.949Z","updated_at":"2025-04-09T03:10:31.015Z","avatar_url":"https://github.com/tata1661.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\u003cimg src=\"logo-fsl-mate.png\" alt=\"logo\" width=\"400px\" /\u003e\u003c/p\u003e\n\n\n---\n\n**FSL-Mate** is a collection of resources for few-shot learning (FSL).  \n\nIn particular, FSL-Mate currently contains\n\n- [**FewShotPapers**](https://github.com/tata1661/FSL-Mate/tree/master/FewShotPapers): a paper list which tracks the research advances on FSL\n- [**PaddleFSL**](https://github.com/tata1661/FSL-Mate/tree/master/PaddleFSL): a PaddlePaddle-based python library for FSL \n\nWe are endeavored to constantly update FSL-Mate. Hopefully, it can make FSL easier. \n\n## News🔥 \n- [2024-03-06] Add FSL papers published in ICLR 2024.\n- [2024-02-20] Add FSL papers published in AAAI and EMNLP 2023.\n- [2023-11-29] Add FSL papers published in ICCV and NeurIPS 2023.\n\n## Cite Us\n\nPlease cite our [paper](https://dl.acm.org/doi/10.1145/3386252?cid=99659542534) if you find it helpful.\n```\n@article{wang2020generalizing,\n  title={Generalizing from a few examples: A survey on few-shot learning},\n  author={Wang, Yaqing and Yao, Quanming and Kwok, James T and Ni, Lionel M},\n  journal={ACM Computing Surveys},\n  volume={53},\n  number={3},\n  pages={1--34},\n  year={2020},\n  publisher={ACM New York, NY, USA}\n}\n```\n\n## Contact\nWe welcome advices and feedbacks for FSL-Mate. Please feel free to open an issue or contact [Yaqing Wang](mailto:wangyaqing01@baidu.com). \n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftata1661%2Ffsl-mate","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftata1661%2Ffsl-mate","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftata1661%2Ffsl-mate/lists"}