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  1. SPIVAE SPIVAE Public

    Stochastic processes insights from VAE. Code for the paper: Learning minimal representations of stochastic processes with variational autoencoders.

    Jupyter Notebook 7

  2. kistep kistep Public

    KISTEP combines various methods for the characterization of anomalous diffusion trajectories.

    Jupyter Notebook 1

  3. andi_datasets andi_datasets Public

    Forked from AnDiChallenge/andi_datasets

    ANDI provides the necessary functions to generate, save, load and manipulate datasets of diffusion anomalous trajectories. It is part of the Anomalous Diffusion (ANDI) Challenge.

    Jupyter Notebook

  4. DeepTrack2 DeepTrack2 Public

    Forked from DeepTrackAI/DeepTrack2

    DeepTrack2

    Python