pyMSDtorch
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Getting Started:

  • Welcome to pyMSDtorch’s documentation!
  • Install pyMSDtorch
  • Network Initialization
  • Training
  • Saving and loading models

MSDNet & TUNet Demo:

  • Segmention demo in 2D using Mixed-scale Dense Networks and Tunable U-Nets

SMSNet Ensemble Learning:

  • Ensemble Learning with Randomized Sparse Mixed-Scale Networks

Autoencoder Latent Space:

  • Latent Space Exploration with UMap and Randomized Sparse Mixed Scale Autoencoders
  • Latent Space Exploration with Randomized Sparse Mixed Scale Autoencoders, regularized by the availability of image labels
  • (Newer) Latent Space Exploration with Randomized Sparse Mixed Scale Autoencoders, regularized by the availability of image labels
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© Copyright 2021, Peter Zwart & Eric Roberts. Revision d3e56b75.

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