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@dataiku-research

Dataiku Lab

Dataiku ML Research

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  1. cardinal Public

    A practical Active Learning python package with a strong focus on experiments.

    Python 51 6

  2. drift_detectors_benchmark Public

    Python 7 1

  3. mealy Public

    Model Error Analysis for scikit-learn models.

    Python 29 1

Repositories

Showing 10 of 10 repositories
  • lr_finder_keras_fastai Public

    Experiments comparing keras and fastai implementations of the learning rate finder.

    Jupyter Notebook 8 Apache-2.0 0 0 3 Updated Mar 24, 2023
  • transferability_metrics_for_object_detection Public
    Jupyter Notebook 0 Apache-2.0 0 1 0 Updated Jan 12, 2023
  • active-learning-tutorial Public

    Active learning in the real world tutorial

    Jupyter Notebook 0 Apache-2.0 0 0 0 Updated Nov 10, 2022
  • OpenAL Public

    Benchmarking active learning on tabular datasets

    Jupyter Notebook 2 Apache-2.0 1 0 0 Updated Nov 8, 2022
  • performance_prediction_under_shift Public
    Jupyter Notebook 3 Apache-2.0 2 0 0 Updated Oct 24, 2022
  • cardinal Public

    A practical Active Learning python package with a strong focus on experiments.

    Python 51 Apache-2.0 6 3 0 Updated Oct 20, 2022
  • sample_noise_impact_on_active_learning Public
    Python 3 Apache-2.0 1 0 0 Updated Aug 5, 2022
  • mealy Public

    Model Error Analysis for scikit-learn models.

    Python 29 Apache-2.0 1 4 2 Updated Jan 13, 2022
  • lab-beamer Public

    A metropolis beamer dataiku friendly

    TeX 0 0 0 0 Updated Nov 19, 2021
  • drift_detectors_benchmark Public
    Python 7 Apache-2.0 1 0 0 Updated Aug 23, 2021

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