Learning and Softcomputing Repository

This repository contains the results of the module Learning and Softcomputing at the FH Wedel University of Applied Sciences in the summer semester 2023.

About the repository

• The folder images contains all the images created in the Jupyter notebook.
• The folder jupyter_notebook contains the Jypter notebook itself.
• The folder presentation contains our final presentation, which was held on 11.07.23 in connection with the completion of the module.
• The folder saved_models contains all saved models in the joblib format and the tensorflow models in the SavedModel format.

Authors

• Jonathan Ebinger
• Marc Schmidt
• Nicola Jäger

More datasets

• GitCollection
• Kaggle IDS
• another kaggle Colleciton
• Kyoto University's Honeypots
• List of datasets related to networking. Useful for data-driven evaluation or machine learning approaches
• IoT-23 Dataset: A labeled dataset of Malware and Benign IoT Traffic.
• HIKARI-2021