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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Abstract: In this paper, the state estimation problem with non-stationary heavy-tailed measurement noise (NHMN) is considered. The mixture of two Gaussian distributions, with a Bernoulli random ...
The purpose of this project is to let you easily download and install new Linux distributions under Windows Subsystem for Linux and seamlessly switch between them. The rootfs archives are currently ...
This is a python implementation of a power-law distribution fitter. The code here was originally hosted on agpy but was moved and re-packaged to make setup.py cleaner. Aaron Clauset et al. address the ...
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