We are the Machine Learning Group led by Prof. Barbara Hammer at Bielefeld University.
On this page you can find the accompanying source code of our publications 😃
We are the Machine Learning Group led by Prof. Barbara Hammer at Bielefeld University.
On this page you can find the accompanying source code of our publications 😃
Fast and incremental explanations for online machine learning models. Works best with the river framework.
A high-level interface designed for the easy generation of hydraulic and water quality scenario data.
A Python package for implementing and evaluating control algorithms & strategies in smart water networks.
A collection of benchmark resources regarding Water Distribution Networks
Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems.
Official code for the paper: Physics-Informed Graph Neural Networks for Water Distribution Systems
Official repository of "TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models".
Fairness-enhancing machine learning methods in the domain of water distribution networks (extended version).