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  • University of Toronto
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  • University of Toronto
  • Toronto
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Pinned

  1. A Python framework to construct and train artificial neural networks. Created to teach myself neural nets rather than optimized for speed.

    Python 1

  2. R and Python code for working with structural covariance networks

    R 1 1

  3. Statistics for MINC volumes: A library to integrate voxel-based statistics for MINC volumes into the R environment. Supports getting and writing of MINC volumes, running voxel-wise linear models, c…

    R 19 14

  4. Code to compute the PSF and MTF of a CT scanner using a wire phantom...and other parts of the lab

    Python

19 contributions in the last year

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Contribution activity

February 2020

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