{"id":20162622,"url":"https://github.com/codeamt/fastefficientcovidnet","last_synced_at":"2026-03-07T13:31:07.639Z","repository":{"id":201923627,"uuid":"270444085","full_name":"codeamt/FastEfficientCovidNet","owner":"codeamt","description":"CXR classification API with pre-trained EfficientNet-b1 and Fast.ai","archived":false,"fork":false,"pushed_at":"2024-03-10T04:35:52.000Z","size":2473,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-03T02:45:25.474Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Makefile","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/codeamt.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-06-07T21:59:56.000Z","updated_at":"2024-03-10T03:15:48.000Z","dependencies_parsed_at":null,"dependency_job_id":"423d9fde-cbad-4dea-aeb8-c2c809c3c3cc","html_url":"https://github.com/codeamt/FastEfficientCovidNet","commit_stats":null,"previous_names":["codeamt/fastefficientcovidnet"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/codeamt/FastEfficientCovidNet","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeamt%2FFastEfficientCovidNet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeamt%2FFastEfficientCovidNet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeamt%2FFastEfficientCovidNet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeamt%2FFastEfficientCovidNet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/codeamt","download_url":"https://codeload.github.com/codeamt/FastEfficientCovidNet/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeamt%2FFastEfficientCovidNet/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30215572,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-07T13:25:55.541Z","status":"ssl_error","status_checked_at":"2026-03-07T13:25:38.596Z","response_time":53,"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":[],"created_at":"2024-11-14T00:25:57.740Z","updated_at":"2026-03-07T13:31:07.571Z","avatar_url":"https://github.com/codeamt.png","language":"Makefile","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Fast Efficient CovidNet -  An End-to-End Pipeline\nThis GitHub Repository contains my final project for Udacity's Machine Learning Engineer Nanodegree\n\n## About \nThis is a Chest X-Ray (CXR) classification API. Building on previous work of [[1]](https://arxiv.org/pdf/2003.09871v3.pdf), the CovNet model for this ML project utilizes a pre-trained EfficientNet-b1 to extract features and a fine-tuned Fast.ai classifier to differentiate between infection classes (Normal, Viral Pneumonia, or COVID-19) with 95% test accuracy. \n \n ## Repo Contents: \n - [mle-capstone-data (submodule)](https://github.com/codeamt/mle-capstone-data/tree/41128aef7f98d479fafc6c946f804b5e52d8c89f)\n - [mle-capstone-modeling (submodule)](https://github.com/codeamt/mle-capstone-modeling/tree/6d2469b585b6d0d7535a33e734453b07846a5cb6)\n - [mle-capstone-deployment (submodule)](https://github.com/codeamt/mle-capstone-deployment/tree/16741ab5f2c4670dff3c962cc0ba5b9580e8b9b2)\n - [project propsal (pdf)](https://github.com/codeamt/udacity-mle-capstone-project/blob/master/proposal.pdf)\n - [project report (pdf)](https://github.com/codeamt/udacity-mle-capstone-project/blob/master/report.pdf)\n - [README.md (here)]()\n\n ## Instructions: \nEach submodule provides an .ipynb file for a detailed walkthrough of that project phase.\n\nIn the data submodule, to generate the COVIDx dataset, you'll neet a kaggle account. If you don't have an account, you can create one at [kaggle.com](https://www.kaggle.com/). From there, from the top right menu, visit My Account \u003e API \u003e create New API Token \u003e ... to get a JSON  hardfile of your API Token.\n\nIn the deployment submodule, if you'd like to run the quick start demo notebook, you'll also need to create a [ngrok]() account and API token.  \n \n \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodeamt%2Ffastefficientcovidnet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodeamt%2Ffastefficientcovidnet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodeamt%2Ffastefficientcovidnet/lists"}