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  1. Quantitative-Big-Imaging-2018 Quantitative-Big-Imaging-2018 Public

    (Latest semester at https://github.com/kmader/Quantitative-Big-Imaging-2019) The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2018

    Jupyter Notebook 52 24

  2. marcotcr/lime marcotcr/lime Public

    Lime: Explaining the predictions of any machine learning classifier

    JavaScript 11.6k 1.8k

  3. DLTK/DLTK DLTK/DLTK Public

    Deep Learning Toolkit for Medical Image Analysis

    Python 1.4k 405

  4. google/neuroglancer google/neuroglancer Public

    WebGL-based viewer for volumetric data

    TypeScript 1.1k 298

  5. Beating Serialization in Spark Beating Serialization in Spark
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    # Serialization
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    As all objects must be ```Serializable``` to be used as part of ```RDD``` operations in Spark, it can be difficult to work with libraries which do not implement these featuers.
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    ## Java Solutions
    5
    ### Simple Classes
  6. Quantitative-Big-Imaging-2019 Quantitative-Big-Imaging-2019 Public

    The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2019

    Jupyter Notebook 27 20