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LEMettler/README.md

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Different Cellular Automata modelling the development of sand dunes based on Werners Model (1995) and following publications with 2D and 3D visualization.

An OpenSimplex Noise fork that adds analytically calculated gradients in 2D, 3D and 4D.

Random strange attractors from 2 dimensional system of equations. Calculated in C++, visualized in python.

My take on the Kaggle Higgs-Boson Machine Learning Challenge with a DNN setup for a 2.6 AMS score aswell as a custom Gaussian Mixture Classifier approach.

  • LaTeX template
    My go-to $\LaTeX$ template. Pretty frontpage and useful commands included.

  • Numpy DNN
    A neural network build from scratch, not relying on frameworks like TensorFlow. All matrix calculations, including backpropagation steps, are explained to gain a deep understanding of the underlying processes.

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  1. algo-art algo-art Public

    Generative, algorithmic art.

    JavaScript 10

  2. higgs-challenge higgs-challenge Public

    Gaussian Mixture Model and DNN for Higgs Challenge

    Jupyter Notebook

  3. strange-attractors strange-attractors Public

    Random strange attractors. Calculated in C++. Visualized in Python with matplotlib and py5.

    C++

  4. photography photography Public

    A showcase of selected photographs. A kind of portfolio in a loose sense.

    CSS