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Code Repository for the paper ''Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation".

Übetragung von Nutzereingaben über ein Python Programm auf einem Raspberry Pi über eine SPI-Schnittstelle an einen Arduino Micro. Die Nutzereingaben werden über die Micro-USB-Schnittstelle als Tastatureingaben über eine HID-Library ausgegeben.

This project is situated at the intersection of cognitive neuroscience and machine learning, with a focus on decoding auditory and visual attention through electroencephalography (EEG) data. Assigned as part of a brain pattern recognition course, our challenge is to classify the directions of visual and auditory attentions—left or right—utilizing EEG recordings. Participants underwent a series of tests, listening to stimuli while looking in specific directions. The generated dataset, comprised of raw EEG data and CSV files, is annotated with labels indicating the direction of both auditory and visual attentions.

An implementation of the Delegated CoAP Authentication and Authorization Framework (DCAF) see http://tools.ietf.org/html/draft-gerdes-ace-dcaf-authorize

Library for testing and comparing deep learning based methods for inverse problems, written in python.

Plumbing for all the tools to create a full circle understanding.

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Service for managing pizza deliveries