AlexSWong / COVID-Net

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.

Date Created 2021-01-17 (4 years ago)

Commits 180 (last one about a year ago)

Stargazers 43 (0 this week)

Watchers 5 (0 this week)

Forks 10

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RepositoryStats indexes 632,894 repositories, of these AlexSWong/COVID-Net is ranked #529,667 (16th percentile) for total stargazers, and #323,843 for total watchers.

AlexSWong/COVID-Net is also tagged with popular topics, for these it's ranked: deep-learning (#7,789/8811), machine-learning (#7,404/8405), ai (#3,824/4851), neural-networks (#687/758), ml (#553/653), datasets (#338/373), covid-19 (#288/316), healthcare (#147/174)

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ai dl ml edgeai tinyml covid-19 datasets fibrosis covid-net healthcare deep-learning chest-ct-images neural-networks machine-learning chest-xray-images benchmark-datasets

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30 commits on the default branch (gh-pages) since jan '22

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updated: 2023-12-21 @ 06:33am, id: 330475753 / R_kgDOE7Ko6Q