hitalex/algorithm-practice
My own C++ implementations of some selected algorithms
This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cutoff for the scaling region.
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My own C++ implementations of some selected algorithms
Python wrapper for Stanford CoreNLP tools v3.4.1
Automatically exported from code.google.com/p/jahmm
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