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Lane-Marking-Detection
This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.NLP-AllRecipes
This project aims to convert a recipe from AllRecipes.com into another recipe with a different style or cuisine. We parse the HTML code into an internal representation using semantic NLP techniques.Law-OMNI-BERT-Project
Directly applying advancements in transfer learning from BERT results in poor accuracy in domain-specific areas like law because of a word distribution shift from general domain corpora to domain-specific corpora. In our project, we will demonstrate how the pre-trained language model BERT can be adapted to additional domains, such as contract law or court judgments.4-Gewinnt
Eine bunte Version des klassischen Spiels 4 Gewinnt als Android App. Die App wurde im Rahmen eines Coding Camps an der TH Bingen von uns Studenten betreut.EMA
Dieses Repository enthält alle Übungsaufgaben zum Modul EMA an der TH Bingen. Die Vorlesung zum Thema iOS App Entwicklung mit der Programmersprache Swift wurde im Sommer Semester 2017 gehalten.IT-Security-2BPR
This repository contains the material for one lecture about Two-Server Blind Password Registration based on the Paper "Blind Password Registration for Two-Server Password Authenticated Key Exchange and Secret Sharing Protocols" by Franziskus Kiefer and Mark Manulis.Machine-Learning-Tutorials
A repository for machine learning problems and exploration of different ML libraries. The goal of this repository is to collect takeaways while developing ML models. This should improve my overall understanding of developing machine learning applications.Deep-Reinforcement-Learning
This repository contains the source code and documentation for the course project of the Deep Reinforcement Learning class at Northwestern University. The goal of the project was setting up an Open AI Gym and train different Deep Reinforcement Learning algorithms on the same environment to find out strengths and weaknesses for each algorithm. This will help us to get a better understanding of these algorithms and when it makes sense to use a particular algorithm or modification.Love Open Source and this site? Check out how you can help us