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nbip (Niels Bruun Ipsen) · GitHub

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  1. notMIWAE notMIWAE Public

    Code accompanying the notMIWAE paper

    Jupyter Notebook 17 8

  2. IWAE IWAE Public

    Importance Weighted Autoencoders in TensorFlow 2, reproducing results from the IWAE paper with 1 or 2 stochastic layers

    Python 7 3

  3. supMIWAE supMIWAE Public

    Code accompanying the paper "How to deal with missing data in supervised deep learning?"

    Python 7 2

  4. PPCA-Stan PPCA-Stan Public

    Jupyter Notebook 3 1

  5. ppca_ICML2019 ppca_ICML2019 Public

    Probabilistic PCA for missing data: learning curves shows a phase transition and missing rate acts as an effective reduction in the signal-to-noise ratio, not the sample size.

    Python 2 1

  6. 02456-skindisease 02456-skindisease Public

    Jupyter Notebook

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