pyMSDtorch
latest

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
pyMSDtorch
  • »
  • Python Module Index

Python Module Index

p
 
p
- pyMSDtorch
    pyMSDtorch.core
    pyMSDtorch.core.corcoef
    pyMSDtorch.core.custom_losses
    pyMSDtorch.core.helpers
    pyMSDtorch.core.networks
    pyMSDtorch.core.networks.AggNet
    pyMSDtorch.core.networks.graph_utils
    pyMSDtorch.core.networks.MSD_graph_tools
    pyMSDtorch.core.networks.MSDNet
    pyMSDtorch.core.networks.scale_up_down
    pyMSDtorch.core.networks.SMSNet
    pyMSDtorch.core.networks.TUNet
    pyMSDtorch.core.networks.UNet
    pyMSDtorch.core.train_scripts
    pyMSDtorch.test_data
    pyMSDtorch.test_data.twoD
    pyMSDtorch.test_data.twoD.build_test_data
    pyMSDtorch.test_data.twoD.diffusion_model
    pyMSDtorch.test_data.twoD.noisy_gauss_2d
    pyMSDtorch.test_data.twoD.noisy_gauss_2d_time
    pyMSDtorch.test_data.twoD.random_shapes
    pyMSDtorch.test_data.twoD.torch_hdf5_loader
    pyMSDtorch.test_data.twoD.tst
    pyMSDtorch.viz_tools
    pyMSDtorch.viz_tools.plots

© Copyright 2021, Peter Zwart & Eric Roberts. Revision d3e56b75.

Built with Sphinx using a theme provided by Read the Docs.