{"id":13499039,"url":"https://github.com/xternalz/WideResNet-pytorch","last_synced_at":"2025-03-29T03:32:14.974Z","repository":{"id":49724865,"uuid":"83635905","full_name":"xternalz/WideResNet-pytorch","owner":"xternalz","description":"Wide Residual Networks (WideResNets) in PyTorch","archived":false,"fork":false,"pushed_at":"2021-04-29T02:12:09.000Z","size":13,"stargazers_count":333,"open_issues_count":2,"forks_count":77,"subscribers_count":5,"default_branch":"master","last_synced_at":"2024-10-31T17:39:06.655Z","etag":null,"topics":["deep-learning","residual-networks","resnet","wide-resnet","wideresnet"],"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/xternalz.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}},"created_at":"2017-03-02T04:54:03.000Z","updated_at":"2024-10-27T16:58:01.000Z","dependencies_parsed_at":"2022-09-12T23:21:43.944Z","dependency_job_id":null,"html_url":"https://github.com/xternalz/WideResNet-pytorch","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xternalz%2FWideResNet-pytorch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xternalz%2FWideResNet-pytorch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xternalz%2FWideResNet-pytorch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xternalz%2FWideResNet-pytorch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/xternalz","download_url":"https://codeload.github.com/xternalz/WideResNet-pytorch/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246135746,"owners_count":20729056,"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","residual-networks","resnet","wide-resnet","wideresnet"],"created_at":"2024-07-31T22:00:27.317Z","updated_at":"2025-03-29T03:32:14.743Z","avatar_url":"https://github.com/xternalz.png","language":"Python","funding_links":[],"categories":["Papers\u0026Codes","Paper implementations｜论文实现","Paper implementations"],"sub_categories":["WRN","Other libraries｜其他库:","Other libraries:"],"readme":"# Wide Residual Networks (WideResNets) in PyTorch\nWideResNets for CIFAR10/100 implemented in PyTorch. This implementation requires less GPU memory than what is required by the official Torch implementation: https://github.com/szagoruyko/wide-residual-networks.\n\nExample:\n```\npython train.py --dataset cifar100 --layers 40 --widen-factor 4\n```\n\n# Acknowledgement\n- [densenet-pytorch](https://github.com/andreasveit/densenet-pytorch)\n- Wide Residual Networks (BMVC 2016) http://arxiv.org/abs/1605.07146 by Sergey Zagoruyko and Nikos Komodakis.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxternalz%2FWideResNet-pytorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fxternalz%2FWideResNet-pytorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxternalz%2FWideResNet-pytorch/lists"}