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  1. swae Public

    Implementation of the Sliced Wasserstein Autoencoders

    Jupyter Notebook 87 20

  2. swgmm Public

    Sliced Wasserstein Distance for Learning Gaussian Mixture Models

    Jupyter Notebook 51 11

  3. Cumulative Distribution Transform

    Jupyter Notebook 15 7

  4. Radon Cumulative Distribution Transform

    Jupyter Notebook 16 9

  5. The Linear Optimal Transport Framework

    Jupyter Notebook 9 1

  6. Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR 2019)

    Jupyter Notebook 27 3

50 contributions in the last year

Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Mon Wed Fri

Contribution activity

October 2022

Created 1 commit in 1 repository

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