- Zurich, Switzerland
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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
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marcotcr/lime
marcotcr/lime PublicLime: Explaining the predictions of any machine learning classifier
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google/neuroglancer
google/neuroglancer PublicWebGL-based viewer for volumetric data
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Beating Serialization in Spark
Beating Serialization in Spark 1# Serialization
2As 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.
34## Java Solutions
5### Simple Classes
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Quantitative-Big-Imaging-2019
Quantitative-Big-Imaging-2019 PublicThe material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2019
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