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Azariagmt / pulmonary-disorder-detection-using-x-ray-images

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Deep Learning approaches in the detection of pulmonary disorders: COVID19, Tuberculosis, Bacterial, and Viral Pneumonia, Healthy/Normal using 17500 non-augmented X-ray images. 5 class classification performed using different pre-trained models like DenseNet201, Xception, Inception, and many more reaching near 99% accuracy.

spread patients pandemic covid xray-images radiology-imaging positive-cases
  • Updated Sep 19, 2021
  • Jupyter Notebook

ncsu-landscape-dynamics / pops-core

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Test with clang in the CI

wenzeslaus
wenzeslaus commented Sep 30, 2020

In some special cases (which perhaps increase with more features in new C++ versions), clang may reject code which GCC accepts, so we need to test that too. (See #110 for the std::array in a template case.)

Additional motivation: #111 (#112), -Wall result in different warnings being enabled, rpops is build with clang on macOS.

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enhancement good first issue CI

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