Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Flamby | 177 | 3 months ago | 23 | mit | Python | |||||
Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard. | ||||||||||
Covid Cxr | 94 | 3 years ago | 7 | mit | Python | |||||
Neural network model for classifying chest X-rays by presence of COVID-19 features | ||||||||||
Mmpd_rppg_dataset | 75 | 3 months ago | mit | Python | ||||||
MMPD: Multi-Domain Mobile Video Physiology Dataset(EMBC2023 Oral) | ||||||||||
Nhsrdatasets | 60 | 7 months ago | 4 | March 14, 2021 | 8 | cc0-1.0 | R | |||
NHS and healthcare related datasets for training and learning R | ||||||||||
Skin_cancer_detection | 56 | 5 years ago | apache-2.0 | Jupyter Notebook | ||||||
Detecting cancers on mobile phones | ||||||||||
Awesome Healthcare Datasets | 54 | 5 years ago | mit | |||||||
A curated list of awesome healthcare datasets in the public domain. | ||||||||||
Awesome Healthmetrics | 52 | 6 months ago | mit | |||||||
A curated list of awesome resources at the intersection of healthcare and AI | ||||||||||
Epillid Benchmark | 48 | 2 years ago | 4 | mit | Jupyter Notebook | |||||
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3) | ||||||||||
Covid Net | 43 | 3 months ago | ||||||||
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. | ||||||||||
Coaid | 32 | 3 years ago | 3 | |||||||