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The-active-learning-loop-In-active-machine-learning-data-from-experiments-informs-a

Covid-19-detection

Virus virus_1

Normal normal_1

Tensorflow version

in Tensorflow-keras directory run this code: python train.py


Pytorch version

in Pytorch directory run this code: python train_torch.py


Pytorch Active Learning version

in Active Learning (Pytorch) directory run this code: python train_queries.py


Note about the parameters in main running file:

You can change the hyperparameters in the main running file.
You can also add more models in the models directory using our importing format
You can use any datasets and using datasets directory files you can split and preprocess the datasets.


Results

We achieved 98% validation accuracy using InceptionResnetV2 model and could reach around 0.0002 total validation loss in Active learning and normal classifiers in Pytorch and Tensorflow.

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