{"id":18573565,"url":"https://github.com/prs-eth/film-ensemble","last_synced_at":"2025-04-10T07:32:10.688Z","repository":{"id":99719954,"uuid":"543061338","full_name":"prs-eth/FILM-Ensemble","owner":"prs-eth","description":"[NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation","archived":false,"fork":false,"pushed_at":"2022-12-19T10:53:48.000Z","size":134,"stargazers_count":24,"open_issues_count":0,"forks_count":2,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-03-24T18:11:23.251Z","etag":null,"topics":["calibration","cifar10","cifar100","deep-learning","ece","ensemble","feature-wise-linear-modulation","implicit-ensemble","neurips","probabilistic-deep-learning","pytorch","sub-models","uncertanity"],"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/prs-eth.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":"2022-09-29T10:33:23.000Z","updated_at":"2025-02-08T04:39:25.000Z","dependencies_parsed_at":null,"dependency_job_id":"d2445dfd-6836-4a72-afb6-d18a4d3bd9b3","html_url":"https://github.com/prs-eth/FILM-Ensemble","commit_stats":{"total_commits":18,"total_committers":1,"mean_commits":18.0,"dds":0.0,"last_synced_commit":"a715403fe81a548153a58deb9597abbe9bc65a0b"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prs-eth%2FFILM-Ensemble","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prs-eth%2FFILM-Ensemble/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prs-eth%2FFILM-Ensemble/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prs-eth%2FFILM-Ensemble/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/prs-eth","download_url":"https://codeload.github.com/prs-eth/FILM-Ensemble/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248176446,"owners_count":21060066,"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":["calibration","cifar10","cifar100","deep-learning","ece","ensemble","feature-wise-linear-modulation","implicit-ensemble","neurips","probabilistic-deep-learning","pytorch","sub-models","uncertanity"],"created_at":"2024-11-06T23:10:54.030Z","updated_at":"2025-04-10T07:32:10.409Z","avatar_url":"https://github.com/prs-eth.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation\nMehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Dirk Wegner, and Konrad Schindler. - **NeurIPS 2022**.\n\n\n[ \\[Paper on ArXiv\\] ](https://arxiv.org/abs/2206.00050) [ \\[Poster\\] ](https://neurips.cc/media/PosterPDFs/NeurIPS%202022/53071.png?t=1669493329.1428604)\n\n\n## 🌌 Overview\n\n\u003cimg src=\"assets/method.png\" alt=\"Method overview\"\u003e\n\n\n## ✏️ 📄 Citation\n\nIf you find our work useful or interesting, please cite our paper:\n\n```latex\n@inproceedings{turkoglu2022film,\n  title={FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation},\n  author={Turkoglu, Mehmet Ozgur and Becker, Alexander and G{\\\"u}nd{\\\"u}z, H{\\\"u}seyin Anil and Rezaei, Mina and Bischl, Bernd and Daudt, Rodrigo Caye and D'Aronco, Stefano and Wegner, Jan Dirk and Schindler, Konrad},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2022}\n}\n```\n\n## Reproducing results: Cifar-10 / Cifar-100\n \n### Installation\n```\npip install -r requirements.txt\n```\n\n### Training\n```\npython main.py -e {number of ensemble}\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprs-eth%2Ffilm-ensemble","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprs-eth%2Ffilm-ensemble","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprs-eth%2Ffilm-ensemble/lists"}