powerlaw
There are 18 repositories under powerlaw topic.
csgillespie/poweRlaw
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.
FinResearch/tail-risk
analyzing power-laws fits of financial time series data
gunjanmahindre/Hadamard-Autoencoder
Prediction with Pretrained autoencoders
kirtiJain25/FDP_18
This repository contains FDP'18 presentations and R scripts.
drewquart/119final
Star Data Base
spyphyz/curve_fit
Curve fitting routines for astrophysical (SDSS) spectrographs
AlexanderDavid/Powerlaw
Python wrapper for the Powerlaw Collision Avoidance model
mpadge/paretoconv
R package for convolution of Pareto distributions
Anis-Bouhamadouche/network-centralities-community-detection
This project evolves around the concept of networks, centralities, and community detection, and infection simulation.
csaladenes/flightrank
Code behind the FlightRank website and the data mining that went into it
mahozad/graph-analysis
The project for the course "Web Information Retrieval"
subhamkd/RBC_powerlaw
Simulation of Rayleigh Benard Convection of a powerlaw fluid in rectangular and cylindrical cavities using rheoTool
ZW-ZHANG/Powerlaw_TP
This is a sample implementation of "Power-law Distribution Aware Trust Prediction", IJCAI 2018.
gurol/DsFeatFreqDistFit
DsFeatFreqDist – Dataset Feature-Frequency Distributions Fitting
splinter89/expanders-in-powerlaw-graphs
CS Master’s thesis from SFU, Fall 2018
wmotte/powerlaw
Fit powerlaw distributions with a maximum-likelihood fitting procedure
Yohannan-Reyes/econoPYsics
The entropy module can be found here: https://github.com/nikdon/pyEntropy/blob/master/pyentrp/entropy.py
maxbiostat/bayesian_power_law
A Bayesian take on fitting power law (and alternatives) to data