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    • A collection of benchmark resources regarding Water Distribution Networks
      Python
      MIT License
      1100Updated Nov 25, 2024Nov 25, 2024
    • EPyT-Flow

      Public
      A high-level interface designed for the easy generation of hydraulic and water quality scenario data.
      Python
      MIT License
      4000Updated Nov 25, 2024Nov 25, 2024
    • Shapley Interactions for Machine Learning
      Python
      MIT License
      12000Updated Nov 25, 2024Nov 25, 2024
    • Fairness-enhancing machine learning methods in the domain of water distribution networks (extended version).
      Jupyter Notebook
      MIT License
      1000Updated Oct 21, 2024Oct 21, 2024
    • "Analyzing the Influence of Training Samples on Explanations" by André Artelt et al.
      Python
      MIT License
      1000Updated Oct 17, 2024Oct 17, 2024
    • ceml

      Public
      CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
      Python
      MIT License
      11000Updated Oct 11, 2024Oct 11, 2024
    • Official repository of "FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation".
      Python
      Other
      1000Updated Sep 11, 2024Sep 11, 2024
    • Jupyter Notebook
      MIT License
      0000Updated Aug 28, 2024Aug 28, 2024
    • geoconv

      Public
      A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.
      Python
      GNU General Public License v3.0
      2000Updated Aug 5, 2024Aug 5, 2024
    • "The Effect of Data Poisoning on Counterfactual Explanations" by André Artelt et al.
      Python
      MIT License
      1000Updated May 21, 2024May 21, 2024
    • "A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations" by Artelt et al.
      Python
      MIT License
      1000Updated May 7, 2024May 7, 2024
    • Jupyter Notebook
      MIT License
      0010Updated May 2, 2024May 2, 2024
    • Implementations and wrapper of bias scores for text embeddings.
      Python
      MIT License
      0000Updated Apr 22, 2024Apr 22, 2024
    • DeepView

      Public
      This is an implementation of the DeepView framework that was presented in the paper Schulz, A., Hinder, F., & Hammer, B. (2020): https://www.ijcai.org/Proceedings/2020/319. Also available on Arxiv (2019 version): https://arxiv.org/abs/1909.09154.
      Jupyter Notebook
      5000Updated Mar 29, 2024Mar 29, 2024
    • Official code for the paper: Physics-Informed Graph Neural Networks for Water Distribution Systems
      Python
      2000Updated Mar 21, 2024Mar 21, 2024
    • Introducing the Alien Zoo approach: An experimental framework for evaluating counterfactual explanations for ML
      JavaScript
      Creative Commons Attribution 4.0 International
      3000Updated Mar 21, 2024Mar 21, 2024
    • shapiq

      Public
      Python
      2000Updated Mar 21, 2024Mar 21, 2024
    • iXAI

      Public
      Fast and incremental explanations for online machine learning models. Works best with the river framework.
      Python
      MIT License
      2000Updated Mar 21, 2024Mar 21, 2024
    • Fairness-enhancing machine learning methods in the domain of water distribution networks.
      Jupyter Notebook
      MIT License
      1000Updated Jan 10, 2024Jan 10, 2024
    • atmn

      Public
      Automation Toolbox for Machine learning in water Networks
      Python
      MIT License
      2100Updated Oct 31, 2023Oct 31, 2023
    • Extending Drift Detection Methods to Identify When Exactly the Change Happened
      Python
      1000Updated Sep 22, 2023Sep 22, 2023
    • SAM-MLKR

      Public
      Code for the paper 'Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams'
      Python
      2000Updated Sep 8, 2023Sep 8, 2023
    • Spatial Graph Convolution Neural Networks for Water Distribution Systems
      Python
      4200Updated Aug 23, 2023Aug 23, 2023
    • TeX
      0000Updated Jun 15, 2023Jun 15, 2023
    • DRAGON

      Public
      MIT License
      1000Updated May 31, 2023May 31, 2023
    • "'I do not Know! But Why?' -- Local Model-Agnostic Example-based Explanations of Reject" by André Artelt, Roel Visser and Barbara Hammer
      Python
      MIT License
      1400Updated Jan 13, 2023Jan 13, 2023
    • "Why Here and Not There?" -- Diverse Contrasting Explanations of Dimensionality Reduction by André Artelt, Alexander Schulz and Barbara Hammer.
      Python
      MIT License
      1200Updated Dec 16, 2022Dec 16, 2022
    • "'Explain it in the Same Way!' -- Model-Agnostic Group Fairness of Counterfactual Explanations" by André Artelt and Barbara Hammer
      Python
      MIT License
      1100Updated Nov 29, 2022Nov 29, 2022
    • Unsupervised Unlearning of Concept Drift with Autoencoders by André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou and Barbara Hammer
      Python
      MIT License
      2400Updated Nov 24, 2022Nov 24, 2022
    • Java
      Other
      0000Updated Nov 22, 2022Nov 22, 2022