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Proof of concept: Detect pills in images, crop them out and train CNN to recognize 20 pill categories. Accuracy results: train 100%, test 96%.
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Repository to store the utility source code for the SPARK Challenge 2021.
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The projects develops techniques of approximating the hessian for neural networks.
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Unlinkable Updatable Hiding Databases and Privacy-Preserving Loyalty Programs
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Domain specific language for writing functional requirements
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Tamarin Prover on the Luxembourg HPC
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ULHPC Status (website - gitlab communication test)
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Fast implementation of Word2Vec in Tensorflow
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