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Nis Meinert's repositories

mder

Supplementary material to reproduce "Multivariate Deep Evidential Regression"

Language:Jupyter NotebookMIT16 3 1

cpp_lambda_talk

Presentation material for my talk "Everything you (n)ever wanted to know about C++'s Lambdas"

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rdppy

Python implementation of the Ramer-Douglas-Peucker algorithm

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cpp_value_categories_talk

Presentation material for iCSC 2020's talk "Demystifying Value Categories in C++"

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evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

Language:Jupyter NotebookApache-2.0100

fast_frechet

Comparison of different (fast) discrete Fréchet distance implementations in C++ and CUDA.

Language:TeXMIT100

nbfigtulz

Collection of tools to generate and display visualizations in JupyterLab

Language:Jupyter NotebookMIT1 20

phdthesis

Dissertation for the degree of doctor rerum naturalium (Dr. rer. nat) to the Faculty of Mathematics and Natural Sciences of the University of Rostock, Germany.

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ais_seqmaker

Tool suite for parsing AIS data from CSV stream

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batman-curve

A Python library for generating the iconic Batman curve.

Language:PythonMIT010

cmake-init

The missing CMake project initializer

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fast_frechet-python

Comparison of different (fast) discrete Fréchet distance implementations in Python.

Language:PythonMIT010

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

Language:PythonMIT000

GeoRDPy is a Python library that simplifies geodetic-coordinate polylines using the Ramer-Douglas-Peucker algorithm. It reduces the number of points while preserving accuracy, making it ideal for optimizing geospatial data representations. Specify a threshold for error tolerance and choose a sphere radius for tailored simplification.

Language:PythonMIT010