Artificial Intelligence

U-Race

Unity Reinforcement Autonomous Car Environment [https://github.com/INF-HS-KL-BEGGEL/DL_SS22_T3_DRIVE] Introduction to U-Race In order to work independently of Amazon's AWS DeepRacer and the associated 10-hour training limit, the U-Race framework was developed as part of the 'Deep Learning' course at Kaiserslautern University

AWS DeepRacer

Introduction to DeepRacer This project was part of the course 'Deep Learning' at University of Applied Sciences Kaiserslautern. The topic of the summer term 2022 was 'Reinforcement Learning' and this is our approach to combine the topic with vehicles. After a research which projects are already

TETRIS AI WITH REINFORCEMENT LEARNING

Today, artificial intelligence can be found almost everywhere, be it in image recognition, in parts of the car or in graphics cards. There are many different ways to implement artificial intelligence, and depending on the application, they work better or worse. To make it easier to imagine the principle of

Image Colorization

ImaginatorWeb site created using create-react-app [https://ki.hs-kl.de/colornet/]Click here to open the demoThis project is about the colorization of black and white images. The goal of the project was to create a website where you can upload a black and white image and get the colored image

Chinese Whispers

The purpose of this project is to offer a web service where the features of the Google Cloud Platform can be explored. In particular the web service will use the Cloud Translation and Speech-to-Text API. The web service is called "Stille Post", which can be translated into "

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