{"payload":{"pageCount":2,"repositories":[{"type":"Public","name":"DataPoisoningCounterfactuals","owner":"HammerLabML","isFork":true,"description":"\"The Effect of Data Poisoning on Counterfactual Explanations\" by André Artelt et al.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-21T11:20:14.593Z"}},{"type":"Public","name":"TwoStageMultiinstCFs","owner":"HammerLabML","isFork":true,"description":" \"A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations\" by Artelt et al.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-07T08:08:16.690Z"}},{"type":"Public","name":"PLMBiasMeasureBenchmark","owner":"HammerLabML","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-02T11:05:40.185Z"}},{"type":"Public","name":"EmbeddingBiasScores","owner":"HammerLabML","isFork":false,"description":"Implementations and wrapper of bias scores for text embeddings.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-22T07:51:53.426Z"}},{"type":"Public","name":"DeepView","owner":"HammerLabML","isFork":true,"description":"This is an implementation of the DeepView framework that was presented in the paper Schulz, A., Hinder, F., &amp; Hammer, B. (2020): <a href=\"https://www.ijcai.org/Proceedings/2020/319\" rel=\"nofollow\">https://www.ijcai.org/Proceedings/2020/319</a>. Also available on Arxiv (2019 version): <a href=\"https://arxiv.org/abs/1909.09154\" rel=\"nofollow\">https://arxiv.org/abs/1909.09154</a>.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":4,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,6,13,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-29T12:45:08.948Z"}},{"type":"Public","name":"geoconv","owner":"HammerLabML","isFork":true,"description":"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.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":2,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-29T12:43:52.839Z"}},{"type":"Public","name":"ceml","owner":"HammerLabML","isFork":true,"description":"CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":11,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-27T08:14:19.793Z"}},{"type":"Public","name":"physics_informed_gnns_for_wds","owner":"HammerLabML","isFork":true,"description":"Official code for the paper: Physics-Informed Graph Neural Networks for Water Distribution Systems","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-21T09:48:16.464Z"}},{"type":"Public","name":"IntroAlienZoo","owner":"HammerLabML","isFork":true,"description":"Introducing the Alien Zoo approach: An experimental framework for evaluating counterfactual explanations for ML","allTopics":[],"primaryLanguage":{"name":"JavaScript","color":"#f1e05a"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":3,"license":"Creative Commons Attribution 4.0 International","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-21T08:40:46.830Z"}},{"type":"Public","name":"shapiq","owner":"HammerLabML","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-21T08:39:14.153Z"}},{"type":"Public","name":"iXAI","owner":"HammerLabML","isFork":true,"description":"Fast and incremental explanations for online machine learning models. Works best with the river framework.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-21T08:39:05.057Z"}},{"type":"Public","name":"FairnessInWDNs","owner":"HammerLabML","isFork":true,"description":"Fairness-enhancing machine learning methods in the domain of water distribution networks.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-10T14:24:25.564Z"}},{"type":"Public","name":"atmn","owner":"HammerLabML","isFork":false,"description":"Automation Toolbox for Machine learning in water Networks","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-31T11:21:58.200Z"}},{"type":"Public","name":"extending-drift-detection-methods","owner":"HammerLabML","isFork":true,"description":"Extending Drift Detection Methods to Identify When Exactly the Change Happened","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-22T11:46:49.658Z"}},{"type":"Public","name":"SAM-MLKR","owner":"HammerLabML","isFork":true,"description":"Code for the paper 'Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams'","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-08T11:34:05.297Z"}},{"type":"Public","name":"GCNs_for_WDS","owner":"HammerLabML","isFork":true,"description":"Spatial Graph Convolution Neural Networks for Water Distribution Systems","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":4,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-08-23T08:07:09.161Z"}},{"type":"Public","name":"MeasuringFairnessWithBiasedData","owner":"HammerLabML","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-07-06T08:04:26.797Z"}},{"type":"Public","name":"adversarials_vs_detectors","owner":"HammerLabML","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"TeX","color":"#3D6117"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-06-15T08:31:29.499Z"}},{"type":"Public","name":"DRAGON","owner":"HammerLabML","isFork":true,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-05-31T08:26:23.037Z"}},{"type":"Public","name":"LocalModelAgnosticExamplebasedExplanationsReject","owner":"HammerLabML","isFork":false,"description":"\"'I do not Know! But Why?' -- Local Model-Agnostic Example-based Explanations of Reject\" by André Artelt, Roel Visser and Barbara Hammer","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-01-13T07:32:43.051Z"}},{"type":"Public","name":"ContrastingExplanationDimRed","owner":"HammerLabML","isFork":false,"description":"\"Why Here and Not There?\" -- Diverse Contrasting Explanations of Dimensionality Reduction by André Artelt, Alexander Schulz and Barbara Hammer.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-12-16T08:02:08.765Z"}},{"type":"Public","name":"ModelAgnosticGroupFairnessCounterfactuals","owner":"HammerLabML","isFork":false,"description":"\"'Explain it in the Same Way!' -- Model-Agnostic Group Fairness of Counterfactual Explanations\" by André Artelt and Barbara Hammer","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-29T07:46:55.076Z"}},{"type":"Public","name":"UnsupervisedUnlearningConceptDriftAutoencoders","owner":"HammerLabML","isFork":false,"description":"Unsupervised Unlearning of Concept Drift with Autoencoders by André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou and Barbara Hammer","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-24T06:17:37.922Z"}},{"type":"Public","name":"java-median-relational-glvq","owner":"HammerLabML","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Java","color":"#b07219"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-22T13:58:05.930Z"}},{"type":"Public","name":"java-relational-neural-gas","owner":"HammerLabML","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Java","color":"#b07219"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-22T13:57:09.507Z"}},{"type":"Public","name":"proto-dist-ml","owner":"HammerLabML","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-22T13:55:56.388Z"}},{"type":"Public","name":"edist","owner":"HammerLabML","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-22T13:54:45.028Z"}},{"type":"Public","name":"linear-transfer-learning","owner":"HammerLabML","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-22T13:53:37.676Z"}},{"type":"Public","name":"adversarial-edit-attacks","owner":"HammerLabML","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-22T13:52:34.646Z"}},{"type":"Public","name":"rmm","owner":"HammerLabML","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-11-22T13:50:51.389Z"}}],"repositoryCount":45,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"HammerLabML repositories"}