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  1. A game theoretic approach to explain the output of any machine learning model.

    Jupyter Notebook 10.6k 1.5k

  2. Integrates any BAM/BED file into the ChromNet group graphical model.

    Julia 8

  3. A simple wrapper that allows pmap to report results using the ProgressMeter package.

    Julia 8 5

  4. Forked from hiranumn/IntegratedGradients

    Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

    Jupyter Notebook 7 6

  5. Software to build a comprehensive chromatin network model from all public ENCODE data.

    Python 3 1

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October 2020

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