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@IBM @IBM-HRL-MLHLS

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  1. BiomedSciAI/causallib BiomedSciAI/causallib Public

    A Python package for modular causal inference analysis and model evaluations

    Python 728 97

  2. roc-n-roll roc-n-roll Public

    Interactive plotting of ROC (and precision-recall) curves showing multiple metrics evaluations along the curve.

    Jupyter Notebook 4

  3. Deep-PGS Deep-PGS Public

    Deep learning model for polygenic scoring (predicting traits using DNA markers)

    Python 5 1

  4. gandi gandi Public

    Generative Adversarial Network for Detecting Irregularities. Applying GANs to anomaly detection.

    Python 2 1

  5. IBM-HRL-MLHLS/IBM-Causal-Inference-Benchmarking-Framework IBM-HRL-MLHLS/IBM-Causal-Inference-Benchmarking-Framework Public

    Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code

    Python 80 13

  6. expected-risk-frequencies expected-risk-frequencies Public

    Communicating obscure statistical risk measures clearly with expected frequencies

    Python 1 1