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@ml-opt

ml-opt

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  1. BayesPermus BayesPermus Public

    Bayesian inference of algorithm performance using permutation models.

    Python

Repositories

Showing 7 of 7 repositories
  • tibfold Public

    Calculate the bias of k-fold cross-validation with hyper-parameter configuration

    ml-opt/tibfold’s past year of commit activity
    Python 1 MIT 1 0 0 Updated Jun 6, 2023
  • BayesPermus Public

    Bayesian inference of algorithm performance using permutation models.

    ml-opt/BayesPermus’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Aug 30, 2022
  • BayesPermusPresentation Public

    Presentation code for BayesPermus

    ml-opt/BayesPermusPresentation’s past year of commit activity
    Jupyter Notebook 3 MIT 0 0 0 Updated Jun 26, 2022
  • manipulation Public

    Detecting Electoral Manipulation under Borda Voting Rule

    ml-opt/manipulation’s past year of commit activity
    Python 0 0 0 0 Updated May 18, 2022
  • continuation-hpo Public

    Hyper-parameter optimization using continuation method.

    ml-opt/continuation-hpo’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Sep 13, 2021
  • cys-covid Public

    Source code y data files of experiments contained in CyS published paper

    ml-opt/cys-covid’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Mar 26, 2021
  • dnn_opt Public

    dnn_opt is a machine learning library to perform optimization and neural network training by using meta-heuristics with multi-core and GPU support

    ml-opt/dnn_opt’s past year of commit activity
    C++ 25 5 8 (2 issues need help) 1 Updated Mar 1, 2021

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