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    51 repositories

    • WaterBenchmarkHub

      Public
      A collection of benchmark resources regarding Water Distribution Networks
      Python
      •
      MIT License
      •1•1•0•0•Updated Nov 13, 2024Nov 13, 2024

    • shapiq-package

      Public
      Shapley Interactions for Machine Learning
      Python
      •
      MIT License
      •12•0•0•0•Updated Nov 13, 2024Nov 13, 2024

    • EPyT-Flow

      Public
      A high-level interface designed for the easy generation of hydraulic and water quality scenario data.
      Python
      •
      MIT License
      •4•0•0•0•Updated Nov 13, 2024Nov 13, 2024

    • FairnessInWDSs_extended

      Public
      Fairness-enhancing machine learning methods in the domain of water distribution networks (extended version).
      Jupyter Notebook
      •
      MIT License
      •1•0•0•0•Updated Oct 21, 2024Oct 21, 2024

    • AnalyzingInfluenceTrainingSamplesExplanations

      Public
      "Analyzing the Influence of Training Samples on Explanations" by André Artelt et al.
      Python
      •
      MIT License
      •1•0•0•0•Updated Oct 17, 2024Oct 17, 2024

    • ceml

      Public
      CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
      Python
      •
      MIT License
      •11•0•0•0•Updated Oct 11, 2024Oct 11, 2024

    • fashionfail

      Public
      Official repository of "FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation".
      Python
      •
      Other
      •1•0•0•0•Updated Sep 11, 2024Sep 11, 2024

    • MeasuringFairnessWithBiasedData

      Public
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated 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
      •2•0•0•0•Updated Aug 5, 2024Aug 5, 2024

    • DataPoisoningCounterfactuals

      Public
      "The Effect of Data Poisoning on Counterfactual Explanations" by André Artelt et al.
      Python
      •
      MIT License
      •1•0•0•0•Updated May 21, 2024May 21, 2024

    • TwoStageMultiinstCFs

      Public
      "A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations" by Artelt et al.
      Python
      •
      MIT License
      •1•0•0•0•Updated May 7, 2024May 7, 2024

    • PLMBiasMeasureBenchmark

      Public
      Jupyter Notebook
      •
      MIT License
      •0•0•1•0•Updated May 2, 2024May 2, 2024

    • EmbeddingBiasScores

      Public
      Implementations and wrapper of bias scores for text embeddings.
      Python
      •
      MIT License
      •0•0•0•0•Updated 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
      •4•0•0•0•Updated Mar 29, 2024Mar 29, 2024

    • physics_informed_gnns_for_wds

      Public
      Official code for the paper: Physics-Informed Graph Neural Networks for Water Distribution Systems
      Python
      •2•0•0•0•Updated Mar 21, 2024Mar 21, 2024

    • IntroAlienZoo

      Public
      Introducing the Alien Zoo approach: An experimental framework for evaluating counterfactual explanations for ML
      JavaScript
      •
      Creative Commons Attribution 4.0 International
      •3•0•0•0•Updated Mar 21, 2024Mar 21, 2024

    • shapiq

      Public
      Python
      •2•0•0•0•Updated 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
      •2•0•0•0•Updated Mar 21, 2024Mar 21, 2024

    • FairnessInWDNs

      Public
      Fairness-enhancing machine learning methods in the domain of water distribution networks.
      Jupyter Notebook
      •
      MIT License
      •1•0•0•0•Updated Jan 10, 2024Jan 10, 2024

    • atmn

      Public
      Automation Toolbox for Machine learning in water Networks
      Python
      •
      MIT License
      •2•1•0•0•Updated Oct 31, 2023Oct 31, 2023

    • extending-drift-detection-methods

      Public
      Extending Drift Detection Methods to Identify When Exactly the Change Happened
      Python
      •1•0•0•0•Updated 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
      •2•0•0•0•Updated Sep 8, 2023Sep 8, 2023

    • GCNs_for_WDS

      Public
      Spatial Graph Convolution Neural Networks for Water Distribution Systems
      Python
      •4•2•0•0•Updated Aug 23, 2023Aug 23, 2023

    • adversarials_vs_detectors

      Public
      TeX
      •0•0•0•0•Updated Jun 15, 2023Jun 15, 2023

    • DRAGON

      Public
      MIT License
      •1•0•0•0•Updated May 31, 2023May 31, 2023

    • LocalModelAgnosticExamplebasedExplanationsReject

      Public
      "'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
      •1•4•0•0•Updated Jan 13, 2023Jan 13, 2023

    • ContrastingExplanationDimRed

      Public
      "Why Here and Not There?" -- Diverse Contrasting Explanations of Dimensionality Reduction by André Artelt, Alexander Schulz and Barbara Hammer.
      Python
      •
      MIT License
      •1•2•0•0•Updated Dec 16, 2022Dec 16, 2022

    • ModelAgnosticGroupFairnessCounterfactuals

      Public
      "'Explain it in the Same Way!' -- Model-Agnostic Group Fairness of Counterfactual Explanations" by André Artelt and Barbara Hammer
      Python
      •
      MIT License
      •1•1•0•0•Updated Nov 29, 2022Nov 29, 2022

    • UnsupervisedUnlearningConceptDriftAutoencoders

      Public
      Unsupervised Unlearning of Concept Drift with Autoencoders by André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou and Barbara Hammer
      Python
      •
      MIT License
      •2•4•0•0•Updated Nov 24, 2022Nov 24, 2022

    • java-median-relational-glvq

      Public
      Java
      •
      Other
      •0•0•0•0•Updated Nov 22, 2022Nov 22, 2022