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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 39 16

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

    JavaScript 7.6k 1.2k

  3. Deep Learning Toolkit for Medical Image Analysis

    Python 1.1k 358

  4. WebGL-based viewer for volumetric data

    TypeScript 511 163

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

    Jupyter Notebook 9 12

265 contributions in the last year

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Contribution activity

July 1, 2020

kmader has no activity yet for this period.

May 2020

Created a pull request in mrc-ide/covid-sim that received 3 comments

Adding Binder Badge

Adding a binder badge to make it easier to run the code without installing anything using mybinder.org added r and tidyverse for running rscripts a…

+18 −2 3 comments

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