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Yannick Kees's Projects

deep-minimizing-movement-scheme icon deep-minimizing-movement-scheme

Neural Networks tend to overfit. One way to overcome this problem is by considering a sequence of optimization problems, where we modify the loss function so that we minimize the distance to the previous solution in every step.

fourier-motzkin icon fourier-motzkin

Implementation of the Fourier-Motzkin algorithm in C++. Fourier–Motzkin elimination is a algorithm for eliminating variables from a system of linear inequalities. In practice it is used e.g. for deciding if a set is non-empty

function-approximator-with-pytorch icon function-approximator-with-pytorch

Given any function, the network learns to classify, which points are below the graph of the function and which are above. Implemented in PyTorch

latex-template icon latex-template

LaTeX Template for writing lecture notes, thesis and more. Contains customs environments for quickly denoting theorems, lemmata and definitions in different colors.

mlp icon mlp

Build MLP from scratch only using Numpy. Able to perform simple supervised learning problems in any dimension and with variable layer configurations. It can also be used for Auto-Encoder problems.

myapi icon myapi

Python Webserver, using the FastAPI package to create simple REST-API commands

shape-space-learning icon shape-space-learning

Implementation of two phase field approaches for the surface reconstruction problem and shape space learning. One based of the Modica-Mortola theorem and the other based on Ambrosio-Tortorelli

signatur-von-pfaden icon signatur-von-pfaden

Python Programm, dass gezeichnete Zahlen von 0-9 mit Hilfe der Signatur von Pfaden erkennen soll | Bachelorarbeit

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