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@Quantmetry

quantmetry

The State of the Art AI Company

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  1. pipeasy-spark pipeasy-spark Public

    an easy way to define preprocessing data pipeline (similar to sklean-pandas but for Spark ML)

    Jupyter Notebook 17 1

  2. awesome_quantmetry awesome_quantmetry Public

    A list of repositories commonly used @ Quantmetry

    14 2

  3. grand-debat grand-debat Public

    Initier la mise à disposition, pour tout citoyen, de techniques d’Intelligence Artificielle destinées à appréhender le nombre important de contributions au Grand Débat

    Python 12 1

  4. MLflow_drift_detection MLflow_drift_detection Public

    a small example showing interactions between MLFlow and scikit-multiflow

    Python 10

  5. resources-intelligibility resources-intelligibility Public

    Some resources for intelligibility analysis of machine learning models.

    Jupyter Notebook 4 1

  6. Data-Academy Data-Academy Public

    Jupyter Notebook 3 1

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