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    63 repositories

    • PreSeCoLM

      Public
      Predicting Sensitive Concepts in Language Models
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated Jul 30, 2025Jul 30, 2025

    • RBC-Gym

      Public
      Python
      •1•2•0•0•Updated Jul 24, 2025Jul 24, 2025

    • RBC-Control-SARL

      Public
      Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime
      Python
      •
      MIT License
      •0•0•0•0•Updated Jul 21, 2025Jul 21, 2025

    • NeuralSurrogateKalmanChlorineEstimation

      Public
      This repository contains the implementation of the experiments from the paper "Neural Surrogate Model in an Extended Kalman Filter for Chlorine Concentration State Estimation in Water Distribution Systems" @ SysTol 2025 by André Artelt, Janine Strotherm, Luca Hermes, Barbara Hammer
      Python
      •
      MIT License
      •1•0•0•0•Updated Jul 18, 2025Jul 18, 2025

    • EPyT-Flow

      Public
      A high-level interface designed for the easy generation of hydraulic and water quality scenario data.
      Python
      •
      MIT License
      •6•0•0•0•Updated Jul 11, 2025Jul 11, 2025

    • EPyT-Control

      Public
      A Python package for implementing and evaluating control algorithms & strategies in smart water networks.
      Python
      •
      MIT License
      •3•1•0•0•Updated Jul 11, 2025Jul 11, 2025

    • shapiq-package

      Public
      Shapley Interactions for Machine Learning
      Python
      •
      MIT License
      •37•0•0•0•Updated Jul 11, 2025Jul 11, 2025

    • RL4Water_CCWI2025

      Public
      Python
      •0•2•0•0•Updated Jul 10, 2025Jul 10, 2025

    • 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
      •3•0•0•0•Updated Jun 16, 2025Jun 16, 2025

    • WaterBenchmarkHub

      Public
      A collection of benchmark resources regarding Water Distribution Networks
      Python
      •
      MIT License
      •2•1•0•0•Updated Jun 9, 2025Jun 9, 2025

    • go_with_the_flow

      Public
      Go with the Flow: Leveraging Physics-Informed Gradents to Solve Real-World Problems in Water Distribution Systems.
      Jupyter Notebook
      •1•0•0•0•Updated Jun 6, 2025Jun 6, 2025

    • A-Benchmark-for-Physics-informed-Machine-Learning-of-Chlorine-States-in-Water-Distribution-Networks

      Public
      This repository contains the benchmark and the implementation of the experiments from the paper "A Benchmark for Physics-informed Machine Learning of Chlorine States in Water Distribution Networks" by Luca Hermes, André Artelt, Stelios Vrachimis, Marios Polycarpou, and Barbara Hammer
      Python
      •
      MIT License
      •1•0•0•0•Updated Jun 4, 2025Jun 4, 2025

    • Koopman-Based-Surrogate-RBC

      Public
      Koopman-Based Surrogate Modeling of Turbulent Rayleigh-Bénard Convection
      Python
      •
      MIT License
      •0•0•0•0•Updated Apr 17, 2025Apr 17, 2025

    • RL4Water_Sensor_Placement_Anytown

      Public
      Python
      •0•0•0•0•Updated Apr 17, 2025Apr 17, 2025

    • AnalyzingInfluenceTrainingSamplesExplanations

      Public
      "Analyzing the Influence of Training Samples on Explanations" by André Artelt et al.
      Python
      •
      MIT License
      •1•0•0•0•Updated Mar 25, 2025Mar 25, 2025

    • iXAI

      Public
      Fast and incremental explanations for online machine learning models. Works best with the river framework.
      Python
      •
      MIT License
      •4•0•0•0•Updated Mar 12, 2025Mar 12, 2025

    • SPIGNNs_for_WDSs

      Public
      Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems.
      Jupyter Notebook
      •2•0•0•0•Updated Feb 19, 2025Feb 19, 2025

    • physics_informed_gnns_for_wds

      Public
      Official code for the paper: Physics-Informed Graph Neural Networks for Water Distribution Systems
      Python
      •3•2•0•0•Updated Feb 11, 2025Feb 11, 2025

    • tryoffdiff

      Public
      Official repository of "TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models".
      Python
      •
      Other
      •21•0•0•0•Updated Jan 21, 2025Jan 21, 2025

    • 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

    • 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

    • 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
      •5•0•0•0•Updated Mar 29, 2024Mar 29, 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