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31 followers · 41 following

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MasashiSode/README.md

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  1. pinton-lab/fullwave_python Public

    Python wrapper for Fullwave 2 simulation.

    Python 2 1

  2. wbawakate/fairtorch Public

    PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.

    Python 72 9

  3. MOBO Public

    constrained/unconstrained multi-objective bayesian optimization package.

    Python 43 9

  4. mcs_kfold Public

    mcs_kfold stands for "monte carlo stratified k fold". This library attempts to achieve equal distribution of discrete/categorical variables in all folds. The greatest advantage of this method is th…

    Python 55 1

MasashiSode (Masashi Sode) · GitHub
Skip to content
View MasashiSode's full-sized avatar
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31 followers · 41 following

Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx3Achievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx3Achievement: StarstruckAchievement: Arctic Code Vault Contributor

Highlights

  • Pro

Organizations

@AillisInc

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MasashiSode/README.md

Pinned Loading

  1. pinton-lab/fullwave_python Public

    Python wrapper for Fullwave 2 simulation.

    Python 2 1

  2. wbawakate/fairtorch Public

    PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.

    Python 72 9

  3. MOBO Public

    constrained/unconstrained multi-objective bayesian optimization package.

    Python 43 9

  4. mcs_kfold Public

    mcs_kfold stands for "monte carlo stratified k fold". This library attempts to achieve equal distribution of discrete/categorical variables in all folds. The greatest advantage of this method is th…

    Python 55 1