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 😃
A high-level interface designed for the easy generation of hydraulic and water quality scenario data.
A collection of benchmark resources regarding Water Distribution Networks
Merge of EPANET and EPANET-MSX, incl. a Python interface and some additional useful functions
This repository contains the Hu-CEMNIST dataset, a large-scale collection of human-generated counterfactual explanations (CFEs) for MNIST digits, together with the data collection interface and analysis code.
A Python package for implementing and evaluating control algorithms & strategies in smart water networks.
"The Effect of Data Poisoning on Counterfactual Explanations" by André Artelt et al.
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