{"id":20841744,"url":"https://github.com/jahongir7174/efficientnet","last_synced_at":"2026-04-25T19:31:47.475Z","repository":{"id":48275136,"uuid":"356224866","full_name":"jahongir7174/EfficientNet","owner":"jahongir7174","description":"EfficientNet implementation using PyTorch","archived":false,"fork":false,"pushed_at":"2022-03-03T00:18:08.000Z","size":19384,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-03-12T10:24:19.809Z","etag":null,"topics":["efficientnet","imagenet","pytorch","training"],"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/jahongir7174.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}},"created_at":"2021-04-09T10:06:36.000Z","updated_at":"2022-07-22T16:51:06.000Z","dependencies_parsed_at":"2022-09-03T15:12:37.235Z","dependency_job_id":null,"html_url":"https://github.com/jahongir7174/EfficientNet","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jahongir7174/EfficientNet","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jahongir7174%2FEfficientNet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jahongir7174%2FEfficientNet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jahongir7174%2FEfficientNet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jahongir7174%2FEfficientNet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jahongir7174","download_url":"https://codeload.github.com/jahongir7174/EfficientNet/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jahongir7174%2FEfficientNet/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32274982,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-25T18:29:39.964Z","status":"ssl_error","status_checked_at":"2026-04-25T18:29:32.149Z","response_time":59,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["efficientnet","imagenet","pytorch","training"],"created_at":"2024-11-18T01:21:35.211Z","updated_at":"2026-04-25T19:31:47.457Z","avatar_url":"https://github.com/jahongir7174.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"[EfficientNet](https://arxiv.org/abs/1905.11946) implementation using PyTorch\n\n#### Steps\n* Configure `imagenet` path by changing `data_dir` in `main.py`\n* `python main.py --benchmark` for model information\n* `bash ./main.sh $ --train` for training model, `$` is number of GPUs\n* `python main.py --test` for testing\n* See `EfficientNet` class in `nets/nn.py` for different versions\n\n#### Note\n* EfficientNet-B0 achieved 77.2 % top-1 and 93.48 % top-5 after 450 epochs\n\n```\nNumber of parameters: 5267540\nTime per operator type:\n        400.231 ms.    85.9425%. Conv\n        42.3814 ms.    9.10067%. Sigmoid\n        19.0129 ms.    4.08269%. Mul\n        1.83499 ms.   0.394031%. AveragePool\n        1.59307 ms.   0.342084%. FC\n       0.636682 ms.   0.136716%. Add\n      0.0058625 ms. 0.00125887%. Flatten\n        465.696 ms in Total\nFLOP per operator type:\n        0.76907 GFLOP.    98.5601%. Conv\n     0.00846444 GFLOP.    1.08476%. Mul\n       0.002561 GFLOP.   0.328205%. FC\n    0.000210112 GFLOP.  0.0269269%. Add\n       0.780305 GFLOP in Total\nFeature Memory Read per operator type:\n        58.5253 MB.    53.8803%. Mul\n        43.2855 MB.    39.8501%. Conv\n        5.12912 MB.    4.72204%. FC\n         1.6809 MB.    1.54749%. Add\n        108.621 MB in Total\nFeature Memory Written per operator type:\n        33.8578 MB.    54.8834%. Mul\n        26.9881 MB.    43.7477%. Conv\n       0.840448 MB.    1.36237%. Add\n          0.004 MB. 0.00648399%. FC\n        61.6904 MB in Total\nParameter Memory per operator type:\n        15.8248 MB.    75.5403%. Conv\n          5.124 MB.    24.4597%. FC\n              0 MB.          0%. Add\n              0 MB.          0%. Mul\n        20.9488 MB in Total\n```\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjahongir7174%2Fefficientnet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjahongir7174%2Fefficientnet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjahongir7174%2Fefficientnet/lists"}