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 😃
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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 😃
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A high-level interface designed for the easy generation of hydraulic and water quality scenario data.
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Merge of EPANET and EPANET-MSX, incl. a Python interface and some additional useful functions
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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.
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A collection of benchmark resources regarding Water Distribution Networks
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A Python package for implementing and evaluating control algorithms & strategies in smart water networks.
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"The Effect of Data Poisoning on Counterfactual Explanations" by André Artelt et al.
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