{"data":{"full_name":"AlexSWong/COVID-Net","name":"COVID-Net","description":"Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global multi-disciplinary team of researchers, developers, and clinicians have made publicly available a suite of tailored deep neural network models for tackling different challenges ranging from screening to risk stratification to treatment planning for patients with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Furthermore, we have made available fully curated, open access benchmark datasets comprised of some of the largest, most diverse patient cohorts from around the world.","stars":43.0,"forks":10.0,"language":null,"license":null,"archived":0.0,"subcategory":"covid-19-xray-diagnosis","last_pushed_at":"2023-12-19T17:28:57+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":8.0,"maturity_score":8.0,"community_score":17.0,"quality_score":33.0,"quality_tier":"emerging","risk_flags":"['no_license', 'stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-12T20:40:00.824138+00:00"}}