{"data":{"slug":"rl-vig-libfewshot","name":"LibFewShot","tagline":"LibFewShot: A Comprehensive Library for Few-shot Learning","github_url":"https://github.com/RL-VIG/LibFewShot","owner":"RL-VIG","repo":"LibFewShot","owner_avatar_url":"https://avatars.githubusercontent.com/u/85790492?v=4","primary_language":"Python","stars":1069,"forks":200,"topics":["few-shot-learning","fine-tuning","image-classification","meta-learning","pytorch"],"archived":false,"github_pushed_at":"2025-10-27T06:51:35+00:00","maintenance_label":"Slowing","stars_delta_30d":-2,"url":"https://www.graphcanon.com/tools/rl-vig-libfewshot","markdown_url":"https://www.graphcanon.com/tools/rl-vig-libfewshot.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/rl-vig-libfewshot","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=rl-vig-libfewshot","description":"[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.","homepage_url":null,"license":"MIT","open_issues":10,"watchers":24,"ai_summary":"[TPAMI 2023] LibFewShot offers tools and methods focused on few-shot learning techniques including fine-tuning and meta-learning, primarily targeting image classification tasks.","readme_excerpt":"## Quick Installation\n\nPlease refer to [install.md](https://libfewshot-en.readthedocs.io/en/latest/install.html)([安装](https://libfewshot-en.readthedocs.io/zh_CN/latest/install.html)) for installation.\n\nComplete tutorials can be found at [document](https://libfewshot-en.readthedocs.io/en/latest/)([中文文档](https://libfewshot-en.readthedocs.io/zh_CN/latest/index.html)).\n\n---\n\n## License\nThis project is licensed under the MIT License. See LICENSE for more details.","github_created_at":"2021-08-04T13:58:20+00:00","created_at":"2026-07-11T11:39:29.313477+00:00","updated_at":"2026-08-24T06:00:49.852178+00:00","categories":[{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"few-shot-learning","name":"few-shot-learning"},{"slug":"fine-tuning","name":"fine-tuning"},{"slug":"image-classification","name":"image-classification"},{"slug":"meta-learning","name":"meta-learning"},{"slug":"pytorch","name":"pytorch"}],"trust":{"provenance":{"is_fork":false,"github_id":392708700,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-24T06:00:48.909Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":300,"last_release_at":null,"stars_delta_30d":-2,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:39:30.496Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-24T06:00:49.549Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-08-24T06:00:49.549Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-08-24T06:00:49.549Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"LibFewShot is open-source under the MIT license, making it freely available and modifiable. However, advanced features or support might require contributions or additional resources."},"requirements":{},"constraints":{"pricing_model":"freemium"},"when_to_use":["When your project involves few-shot learning scenarios where adapting models with limited labeled data for image classification tasks is critical.","If you are looking to integrate both fine-tuning and meta-learning methodologies within the same tool without the need for complex setup processes."],"when_not_to_use":[],"source":"enrich:decision_facts","observed_at":"2026-07-12T10:39:36.973Z"},"constraint_facets":{"pricing_model":"freemium"},"decision_summary":[{"label":"Pricing","value":"freemium - LibFewShot is open-source under the MIT license, making it freely available and modifiable. However, advanced features or support might require contributions or additional resources."},{"label":"Adopt for","value":"LibFewShot is a focused library designed specifically for few-shot learning tasks, emphasizing both fine-tuning and meta-learning techniques. It is particularly optimized for use cases involving image classification."}]}}