{"id":16734887,"url":"https://github.com/dinarior/resnet_embeddings_extractor","last_synced_at":"2025-10-26T20:08:43.040Z","repository":{"id":185693119,"uuid":"288682316","full_name":"dinarior/resnet_embeddings_extractor","owner":"dinarior","description":"Small and easily modifiable notebook to extract embeddings from pre trained resnet50","archived":false,"fork":false,"pushed_at":"2020-08-24T05:36:43.000Z","size":23,"stargazers_count":5,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-10-20T05:12:55.479Z","etag":null,"topics":["cifar","cifar10","cifar100","embeddings","imagenet","pytorch","resnet","resnet-50","unsupervised"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/dinarior.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}},"created_at":"2020-08-19T08:55:04.000Z","updated_at":"2024-01-31T21:56:09.000Z","dependencies_parsed_at":null,"dependency_job_id":"6bfa542f-79f3-4e6c-9af4-8471381847f1","html_url":"https://github.com/dinarior/resnet_embeddings_extractor","commit_stats":null,"previous_names":["dinarior/resnet_embeddings_extractor"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dinarior%2Fresnet_embeddings_extractor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dinarior%2Fresnet_embeddings_extractor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dinarior%2Fresnet_embeddings_extractor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dinarior%2Fresnet_embeddings_extractor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dinarior","download_url":"https://codeload.github.com/dinarior/resnet_embeddings_extractor/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225769463,"owners_count":17521258,"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":["cifar","cifar10","cifar100","embeddings","imagenet","pytorch","resnet","resnet-50","unsupervised"],"created_at":"2024-10-13T00:04:11.019Z","updated_at":"2025-10-26T20:08:37.969Z","avatar_url":"https://github.com/dinarior.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Resnet Embedding Extractor\n\nSmall and easily modifiable [notebook](https://nbviewer.jupyter.org/github/dinarior/resnet_embeddings_extractor/blob/master/extract_embeddings.ipynb) to extract embeddings from pre trained resnet50.\n\nThe notebook extract embeddings for `CIFAR100`, using a pretrained resnet50.\n\nFor the pretrained model we use https://github.com/facebookresearch/swav , thus the embeddings are learned unsupervised on imagenet. You can easily swap it for other models of your choosing.\n\nIf you do use `SWAV`, make sure you [cite](https://arxiv.org/pdf/2006.09882.pdf) them properly.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdinarior%2Fresnet_embeddings_extractor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdinarior%2Fresnet_embeddings_extractor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdinarior%2Fresnet_embeddings_extractor/lists"}