Graph clustering and Node embeddings with word2vec
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Updated
Mar 2, 2019 - Python
Graph clustering and Node embeddings with word2vec
The source code for my bachelor's thesis "Abstractive Summarization of Meetings"
Examples of different Siamese Neural Networks architectures applied to well-known datasets.
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Analysis of Twitter sentiment about firearms in the US prior to and after Stoneman Douglas High shooting.
Gustaf Berg and Magnus Brattlöf Bachelor Thesis in Computer Engineering
Phenax is an open source framework to test Android applications whether they are malicious or not. Using a tool called GroddDroid and machine learning algorithms this framework repeatedly runs a number of goodware and malware applications forcing a different execution path in each application in each run.
An automated model car that tracks and follows objects. Built with RaspberryPi and Arduino, controlled by an iPhone.
software for an optomotor experiment with fruit flies
**RelintBot1** - Prototype of a QnA chatbot for the service of International Relations of the University of Valladolid (UVa)
Bachelor thesis @ KIT
Codes of scrapers from my Bachelor thesis
DeepFake Detector (DFD) is a CLI program used to test how well one of the supported DeepFake detection methods differentiates DeepFake's from images altered by common image modification methods such as gamma correction. This tool was used in my bachelor thesis "Testing robustness of DeepFake recognition methods against non-malicious image modifi…
Script for running the trained modell for parking space monitoring of my bachelor thesis project.
My ' Bachelor Thesis ' About FACE-DETECTION And FACIAL-EXPRESSION
This repository hosts a public version of the code used for my bachelor thesis "Weakly supervised learning in RoboCup Scenarios".
Android malware detection project analyzing network traffic patterns in a telecommunications context. Uses statistical hypothesis testing and data visualization to evaluate traffic features like DNS query times, TCP packets, and volume bytes for distinguishing between benign and malicious Android applications.
This is a collection of scripts for the bioinformatic analysis in the bachelor's thesis "Exploring the Potential of Camelid Single-Domain Antibodies: Structure, Properties and Diverse Applications in Therapeutics and Diagnostics" (2023). The scripts have been developed by Nora El-Zein, Nora Hemmingsson and Sara Mosebach.
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