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@ISG-Siegen

Intelligent Systems Group, University of Siegen

Welcome to the code repository of the Intelligent Systems Group (ISG), headed by Prof. Joeran Beel. We conduct research in recommender-systems (RecSys), personalization and information retrieval (IR) as well as on automated machine learning (AutoML), meta-learning and algorithm selection. Domains we are particularly interested in include smart places, eHealth, manufacturing (industry 4.0), mobility, visual computing, and digital libraries.

We founded and maintain, among others, Darwin & Goliath, Recommender-Systems.com, Mr. DLib, and Docear, each with thousand of users; we contributed to TensorFlow, JabRef and others; and we developed the first prototypes of automated recommender systems (AutoSurprise and Auto-CaseRec) and Federated Meta Learning (FMLearn Server and Client).

Our homepage: https://isg.beel.org/

Our code: https://code.isg.beel.org/

Twitter 1: https://twitter.com/JoeranBeel

Twitter 2: https://twitter.com/RecSys_c

Popular repositories Loading

  1. Auto-Surprise Auto-Surprise Public

    An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

    Python 26 2

  2. assembled assembled Public

    A framework to find better ensembles for (Automated) Machine Learning

    Python 5 3

  3. lenskit-auto lenskit-auto Public

    An AutoRecSys Library built around LensKit. Performs automatic algorithm selection, hyperparameter optimzation and ensembling on LensKit models.

    Python 2 1

  4. Algorithm-Performance-Personas Algorithm-Performance-Personas Public

    Python 1 2

  5. camels camels Public

    Python 1

  6. scoring-optimizer scoring-optimizer Public

    Python 1

Repositories

Showing 10 of 33 repositories
  • ISG-Siegen/recsys-feature-quantity’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Nov 28, 2024
  • ISG-Siegen/e-fold-ml-mahlich’s past year of commit activity
    Jupyter Notebook 0 GPL-3.0 0 0 0 Updated Sep 27, 2024
  • emers Public
    ISG-Siegen/emers’s past year of commit activity
    Python 1 MIT 0 0 0 Updated Sep 23, 2024
  • Informed-Dataset-Selection-via-APS Public

    Code and Supplementary Material for our paper "Informed Dataset-Selection with Algorithm-Performance-Spaces" (ACM RecSys 2024)

    ISG-Siegen/Informed-Dataset-Selection-via-APS’s past year of commit activity
    Python 1 0 0 0 Updated Sep 3, 2024
  • ISG-Siegen/RecSys-Algorithm-Selection-Ranking-Implicit-LBR’s past year of commit activity
    Python 1 MIT 0 0 0 Updated Sep 2, 2024
  • ISG-Siegen/recsys-carbon-footprint’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Aug 15, 2024
  • ISG-Siegen/Dagstuhl-24211-Checklist’s past year of commit activity
    TeX 0 0 0 0 Updated May 30, 2024
  • Auto-Surprise Public

    An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

    ISG-Siegen/Auto-Surprise’s past year of commit activity
    Python 26 MIT 2 0 2 Updated May 25, 2024
  • Releasing-RecSys-Research-Code Public Forked from paperswithcode/releasing-research-code

    Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

    ISG-Siegen/Releasing-RecSys-Research-Code’s past year of commit activity
    0 MIT 719 0 0 Updated May 20, 2024
  • ISG-Siegen/Mr.-DLib-Client-JavaScript’s past year of commit activity
    PHP 0 Apache-2.0 0 1 1 Updated Mar 25, 2024

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