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Search results for jupyter notebook precision
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2 search results found
Mlscorecheck
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8
Testing the consistency of binary classification performance scores reported in papers
Ml Tool Wear
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5
Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"
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