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Deep Active Learning

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I believe there is a mistake in this line in adversarial_deepfool.py if value_i < value_l: ri = value_i/np.linalg.norm(wi.numpy().flatten()) * wi value_l = value_i #

Hello, thank you for implementing a code base that integrates multiple active learning methods! It's a great job! I was wondering how can I add my own data sets and...

Hi, I couldn't find the coreset implementation in your code. How can I find it? Thanks!