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Add tutorial performing anomaly detection based on likelihoods from generative models #298
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Warvito
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112-add-tutorial-performing-anomaly-detection-based-on-likelihoods-from-generative-models
Mar 13, 2023
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Add tutorial performing anomaly detection based on likelihoods from generative models #298
Warvito
merged 7 commits into
main
from
112-add-tutorial-performing-anomaly-detection-based-on-likelihoods-from-generative-models
Mar 13, 2023
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Signed-off-by: Walter Hugo Lopez Pinaya <ianonimato@hotmail.com>
…n-based-on-likelihoods-from-generative-models
Signed-off-by: Walter Hugo Lopez Pinaya <ianonimato@hotmail.com>
Signed-off-by: Walter Hugo Lopez Pinaya <ianonimato@hotmail.com>
Signed-off-by: Walter Hugo Lopez Pinaya <ianonimato@hotmail.com>
Signed-off-by: Walter Hugo Lopez Pinaya <ianonimato@hotmail.com>
marksgraham
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Mar 13, 2023
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Nice tutorial :) Two minor comments
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| # %% [markdown] | ||
| # ### Transformer Training | ||
| # We will train the Transformer for 100 epochs. |
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It's set to 5 in the training loop
| # %% [markdown] | ||
| # ## Image-wise anomaly detection | ||
| # | ||
| # To verify the performance of the VQ-VAE + Transformerperforming unsupervised anomaly detection, we will use the images from the test set of the MedNIST dataset. We will consider images from the `HeadCT` class as in-distribution images. |
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Missing space in "VQ-VAE + Transformer performing"
Signed-off-by: Walter Hugo Lopez Pinaya <ianonimato@hotmail.com>
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Implements #112