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@stat-ml

Statistical Machine Learning Group

StatML group focuses on research in modern statistics and machine learning with particular emphasis on probabilistically inspired approaches

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  1. ncvis Public

    Noise-Contrastive Visualization

    C++ 55 4

  2. GeoMLE Public

    This repo contains code for GeoMLE intrinsic dimension estimation algorithm

    Jupyter Notebook 20 3

  3. SPOC Public

    Jupyter Notebook 8 3

  4. mcvae Public

    Python 12 4

  5. TTDE Public

    Python 14 4

  6. alpaca Public

    Library for active learning and uncertainty estimation in machine learning

    Jupyter Notebook 27 8

Repositories

Showing 10 of 18 repositories
  • uncertainty_from_proper_scoring_rules Public
    Jupyter Notebook 1 0 4 1 Updated Feb 11, 2025
  • Federated_switching Public
    Python 0 MIT 0 0 0 Updated Jul 29, 2024
  • ncvis Public

    Noise-Contrastive Visualization

    C++ 55 MIT 4 4 1 Updated Nov 25, 2023
  • efficient_bayesian_coresets Public
    Python 2 0 0 0 Updated Sep 25, 2023
  • spoc_topic_modelling Public
    0 0 0 0 Updated Sep 1, 2023
  • SPOC Public
    Jupyter Notebook 8 MIT 3 1 2 Updated Jul 6, 2023
  • large_batch_bald Public

    Scalable Batch Acquisition for Deep Bayesian Active Learning

    Jupyter Notebook 3 Apache-2.0 1 0 0 Updated Apr 19, 2023
  • TTDE Public
    Python 14 4 2 0 Updated Apr 1, 2023
  • mcvae Public
    Python 12 4 0 0 Updated Feb 28, 2023
  • id_prediction_intervals Public
    Python 0 0 0 0 Updated Feb 24, 2023
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