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GitHub / mlmed / torchxrayvision

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlmed%2Ftorchxrayvision

Stars: 841
Forks: 207
Open Issues: 22

License: apache-2.0
Language: Jupyter Notebook
Repo Size: 43.8 MB
Dependencies: 13

Created: about 4 years ago
Updated: 6 days ago
Last pushed: 6 days ago
Last synced: 5 days ago

Commit Stats

Commits: 350
Authors: 10
Mean commits per author: 35.0
Development Distribution Score: 0.097
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/mlmed/torchxrayvision

Topics: chest-radiographs, chest-xray, chest-xray-images, cxr, cxr-images, dataset, deep-learning, foundation-models, image-classification, machine-learning, medical, medical-ai, medical-application, medical-image-analysis, medical-image-processing, medical-imaging, pytorch, torchxrayvision, transfer-learning

Funding links: https://github.com/sponsors/ieee8023

Files
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    Readme
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    Dependencies
    setup.py pypi