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  • München, Germany

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  1. gomnistgomnistPublic

    Neural network implementation for the MNIST data set, written in Go (parallel cross validation to be controlled from webserver interface)

    Go 3

  2. python-sklearn-ottopython-sklearn-ottoPublic

    Comparison of classifiers (Otto classification challenge) with scikit-learn (xgboost, ensemble learning, calibration)

    Jupyter Notebook 3 3

  3. R-bikesharing-demandR-bikesharing-demandPublic

    Comparison of regression models (bike sharing demand data) with R (feature engineering, xgboost, kernel SVM, ensemble learning)

    Jupyter Notebook

  4. MATLAB-random-PDEMATLAB-random-PDEPublic

    A MATLAB implementation of anisotropic adaptive stochastic collocation applied to a parabolic PDE

    Jupyter Notebook 1 1

  5. python-anomaly-detectionpython-anomaly-detectionPublic

    An object-oriented approach to implement anomaly detection in Python using semi-supervised learning

    Jupyter Notebook 4 4