There are 1 repository under powerlaw topic.
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.
analyzing power-laws fits of financial time series data
Prediction with Pretrained autoencoders
This repository contains FDP'18 presentations and R scripts.
Python wrapper for the Powerlaw Collision Avoidance model
R package for convolution of Pareto distributions
This project evolves around the concept of networks, centralities, and community detection, and infection simulation.
Code behind the FlightRank website and the data mining that went into it
The project for the course "Web Information Retrieval"
Simulation of Rayleigh Benard Convection of a powerlaw fluid in rectangular and cylindrical cavities using rheoTool
This is a sample implementation of "Power-law Distribution Aware Trust Prediction", IJCAI 2018.
DsFeatFreqDist – Dataset Feature-Frequency Distributions Fitting
CS Master’s thesis from SFU, Fall 2018
The entropy module can be found here: https://github.com/nikdon/pyEntropy/blob/master/pyentrp/entropy.py
A Bayesian take on fitting power law (and alternatives) to data