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@Quantitative-Big-Imaging

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  1. (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 40 18

  2. Lime: Explaining the predictions of any machine learning classifier

    JavaScript 8.2k 1.3k

  3. Deep Learning Toolkit for Medical Image Analysis

    Python 1.2k 380

  4. WebGL-based viewer for volumetric data

    TypeScript 545 177

  5. 1
    # Serialization
    2
    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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    4
    ## Java Solutions
    5
    ### Simple Classes
  6. The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2019

    Jupyter Notebook 10 13

71 contributions in the last year

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Activity overview
Contributed to kmader/keras_webrtc, danielegrattarola/spektral, kmader/GraphNN_Intro and 5 other repositories

Contribution activity

November - December 2020

kmader has no activity yet for this period.

October 2020

8 contributions in private repositories Oct 29

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