dlsia
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Getting Started:

  • Welcome to dlsia’s documentation!
  • Install dlsia
  • Network initialization
  • Training
  • Saving and loading models

Basic dlsia Workflows

  • Segmention demo in 2D using Mixed-scale Dense Networks and Tunable U-Nets
  • Demo on how to save and load models

SMSNet Ensemble Learning

  • Ensemble Learning with Randomized Sparse Mixed-Scale Networks

Image Denoising

  • Supervised Image Denosing with MSDNets and SMSNet ensembles
  • Self-supervised denoising using ensembles

Image Classification

  • Image classification via an ensemble of Randomized Sparse Mixed Scale Networks
  • Image classification with Randomized Sparse Mixed Scale Autoencoders, regularized by the availability of image labels

Autoencoder Latent Space:

  • Latent Space Exploration with UMap and Randomized Sparse Mixed Scale Autoencoders
dlsia
  • dlsia.test_data package
  • Edit on GitHub

dlsia.test_data package

Subpackages

  • dlsia.test_data.two_d package
    • Submodules
    • dlsia.test_data.two_d.build_test_data module
      • build_data_mixed_level_sets_2d()
      • build_data_standard_sets_2d()
      • build_data_standard_sets_2d_time()
    • dlsia.test_data.two_d.diffusion_model module
      • diffusion_2d()
      • tst()
    • dlsia.test_data.two_d.noisy_gauss_2d module
      • DataMaker
        • DataMaker.generate_data_with_normal_noise()
        • DataMaker.generate_ground_truth_image_stack()
      • MixedNoiseDataMaker
        • MixedNoiseDataMaker.generate_data_with_normal_noise()
        • MixedNoiseDataMaker.generate_ground_truth_image_stack()
        • MixedNoiseDataMaker.set_snr_brackets()
      • run_tst()
      • tst()
      • tst_mixed()
    • dlsia.test_data.two_d.noisy_gauss_2d_time module
      • DataMaker
        • DataMaker.generate_data_with_uniform_noise()
        • DataMaker.generate_ground_truth_image_stack()
      • run_tst()
      • tst()
    • dlsia.test_data.two_d.random_shapes module
      • Circle
      • Donut
      • Rectangle
      • Shape
        • Shape.get_random_rotation()
      • Triangle
      • build_random_shape_set()
      • build_random_shape_set_numpy()
      • get_random_object()
      • random_circle()
      • random_donut()
      • random_rectangle()
      • random_triangle()
    • dlsia.test_data.two_d.torch_hdf5_loader module
      • Hdf5Dataset2D
      • Hdf5Dataset2DClasses
      • Hdf5Dataset2Dtime
      • tst()
    • dlsia.test_data.two_d.tst module
      • hello_world()
    • Module contents

Module contents


© Copyright 2023, Peter Zwart & Eric Roberts. Revision 458d70d0.

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