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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 ncvis Public

    Noise-Contrastive Visualization

    C++ 55 3

  2. GeoMLE GeoMLE Public

    This repo contains code for GeoMLE intrinsic dimension estimation algorithm

    Jupyter Notebook 20 3

  3. SPOC SPOC Public

    Jupyter Notebook 8 3

  4. mcvae mcvae Public

    Python 12 3

  5. TTDE TTDE Public

    Python 12 4

  6. alpaca alpaca Public

    Library for active learning and uncertainty estimation in machine learning

    Jupyter Notebook 27 8

Repositories

Showing 10 of 17 repositories
  • stat-ml/Federated_switching’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Jul 29, 2024
  • ncvis Public

    Noise-Contrastive Visualization

    stat-ml/ncvis’s past year of commit activity
    C++ 55 MIT 3 3 0 Updated Nov 25, 2023
  • stat-ml/efficient_bayesian_coresets’s past year of commit activity
    Python 2 0 0 0 Updated Sep 25, 2023
  • stat-ml/spoc_topic_modelling’s past year of commit activity
    0 0 0 0 Updated Sep 1, 2023
  • SPOC Public
    stat-ml/SPOC’s past year of commit activity
    Jupyter Notebook 8 MIT 3 1 2 Updated Jul 6, 2023
  • large_batch_bald Public

    Scalable Batch Acquisition for Deep Bayesian Active Learning

    stat-ml/large_batch_bald’s past year of commit activity
    Jupyter Notebook 3 Apache-2.0 1 0 0 Updated Apr 19, 2023
  • TTDE Public
    stat-ml/TTDE’s past year of commit activity
    Python 12 4 2 0 Updated Apr 1, 2023
  • mcvae Public
    stat-ml/mcvae’s past year of commit activity
    Python 12 3 0 0 Updated Feb 28, 2023
  • stat-ml/id_prediction_intervals’s past year of commit activity
    Python 0 0 0 0 Updated Feb 24, 2023
  • dpp-dropout-uncertainty Public

    Effective uncertainty estimation with decorellation and DPP mask for dropout

    stat-ml/dpp-dropout-uncertainty’s past year of commit activity
    Jupyter Notebook 9 0 0 0 Updated Feb 23, 2023

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