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@ISG-Siegen

Intelligent Systems Group, University of Siegen

README.md

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

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  4. lenskit-auto lenskit-auto Public

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

    Python 1 1

  5. camels camels Public

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  6. scoring-optimizer scoring-optimizer Public

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Repositories

Showing 10 of 28 repositories
  • Dagstuhl-24211-Checklist Public
    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 711 0 0 Updated May 20, 2024
  • Mr.-DLib-Client-JavaScript Public
    ISG-Siegen/Mr.-DLib-Client-JavaScript’s past year of commit activity
    PHP 0 Apache-2.0 0 1 1 Updated Mar 25, 2024
  • scoring-optimizer Public
    ISG-Siegen/scoring-optimizer’s past year of commit activity
    Python 1 MIT 0 0 0 Updated Mar 25, 2024
  • lenskit-auto Public

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

    ISG-Siegen/lenskit-auto’s past year of commit activity
    Python 1 MIT 1 0 0 Updated Nov 21, 2023
  • recsys-dataloader Public
    ISG-Siegen/recsys-dataloader’s past year of commit activity
    Python 0 0 0 0 Updated Oct 10, 2023
  • random-seed-effects Public
    ISG-Siegen/random-seed-effects’s past year of commit activity
    Python 0 MIT 1 0 0 Updated Sep 5, 2023
  • .github Public
    ISG-Siegen/.github’s past year of commit activity
    0 0 0 0 Updated Sep 1, 2023
  • assembled Public

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

    ISG-Siegen/assembled’s past year of commit activity
    Python 5 MIT 3 0 0 Updated Jul 4, 2023
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