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  • München, Germany
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  1. gomnist gomnist Public

    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-otto python-sklearn-otto Public

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

    Jupyter Notebook 3 3

  3. R-bikesharing-demand R-bikesharing-demand Public

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

    Jupyter Notebook

  4. MATLAB-random-PDE MATLAB-random-PDE Public

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

    Jupyter Notebook 2 1

  5. python-anomaly-detection python-anomaly-detection Public

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

    Jupyter Notebook 4 4