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  1. deep_norm deep_norm Public

    Study of relation between norm, margins and generalization in cross-entropy trained classification networks

    Jupyter Notebook

  2. PL PL Public

    GitHub repo of the PL library, to train via pseudo-likelihood and study various dense and sparse architectures.

    Python

  3. PseudoLikelihood_Analysis PseudoLikelihood_Analysis Public

    Code of paper "Pseudo-likelihood produces associative memories able to generalize, even for asymmetric couplings"

    Python

  4. vector_hopfield vector_hopfield Public

    Jupyter Notebook

  5. website website Public

    My personal website done with Quarto+GitHub

    SCSS

  6. DsysDML/rbms DsysDML/rbms Public

    Training and analyzing Restricted Boltzmann Machines in PyTorch

    Python 5 2