This post shows an *approximation method to compute the IoU between oriented 2D boxes*.
I implemented in Python an algorithm that fits the distribution of the sum of independent Gamma random variables.
In this post we are going to work out a vectorized Mann-Kendall trend test implementation using numpy and scipy.
This post covers the derivations of back-propagation in a convolution layer, with numpy implementations.
This post shares a Python implementation to compute the Silhouette Values in a clustering analysis.
The Ramer-Douglas-Peucker (RDP) algorithm is a curve simplification method. To apply it on coordinates defined by latitudes/longitudes, we need to replace the Cartesian geometry with a spherical one.
Peak prominence can be used to identify relatively organized regional maxima while filtering out local disturbances.