Name: Herbert
Type: User
Company: Technical University of Munich
Bio: Research Associate & PhD Student @ TU Munich Department of Computer Science
Interested in distributed machine learning systems & aviation (gliding).
Location: Munich, Germany
Blog: https://www.cs.cit.tum.de/dis/team/herbert-woisetschlaeger/
Herbert's Projects
An Ansible AWX operator for Kubernetes built with Operator SDK and Ansible. 🤖
Open source project for data preparation of LLM application builders
Local evaluation environment for the DEBS 2020 Grand Challenge
This project came to live in the framework of my Master's Thesis at @ TU Munich which was rewarded with a M.Sc. Information Systems in December 2020.
Differentially-private transformers using HuggingFace and Opacus
Flower: A Friendly Federated Learning Framework
This project is a custom Prometheus Node Exporter Variation for Nvidia's Jetson Platform.
This project was developed in the framework of Information Systems Management 354 at Stellenbosch University, South Africa. The system is completely fictional and incorporates only basic features. The code is vunerable.
Leaf: A Benchmark for Federated Settings
MEED: An Unsupervised Multi-Environment Event-Detector for Non-Intrusive Load Monitoring
Selecting High-Quality Data for Training Language Models
Sensor interface for RPi and XCSoar
Bringing Http/Https and WebSockets High Performance servers for PyPy3 and Python3
This is a purely fictional project and it is developed for SEBA, a masters course at the TU Munich.
This is a sample project on how to extract activity data from WoBo and how to feed relevant into Mailchimp.