Explore projects
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s2tagger is a tool for predicting tag sequences, implemented by a recurrent neural network.
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Django app managing and providing the filter rules used by the SNMP proxy.
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Multi-Task Learning Neural network implementation for sequence tagging problems
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This Project provides information on how to train a Bert model for bianry sentiment classification and then provides insight of the attention stored within the layers.
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Implementation of a artifical neural network based on Dynamic Graph CNN for Learning on Point Clouds to regress the direction of particles in a liquid scintillator detector. This work is part of my Master Thesis
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Program examples for the base.camp Talk on Deep Learning
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