A Bayesian take on fitting power law (and alternatives) to data
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Updated
Jan 14, 2019 - Jupyter Notebook
A Bayesian take on fitting power law (and alternatives) to data
The entropy module can be found here: https://github.com/nikdon/pyEntropy/blob/master/pyentrp/entropy.py
This project evolves around the concept of networks, centralities, and community detection, and infection simulation.
R package for convolution of Pareto distributions
DsFeatFreqDist – Dataset Feature-Frequency Distributions Fitting
Prediction with Pretrained autoencoders
analyzing power-laws fits of financial time series data
Python wrapper for the Powerlaw Collision Avoidance model
Simulation of Rayleigh Benard Convection of a powerlaw fluid in rectangular and cylindrical cavities using rheoTool
This repository contains FDP'18 presentations and R scripts.
Fit powerlaw distributions with a maximum-likelihood fitting procedure
This is a sample implementation of "Power-law Distribution Aware Trust Prediction", IJCAI 2018.
The project for the course "Web Information Retrieval"
Curve fitting routines for astrophysical (SDSS) spectrographs
Code behind the FlightRank website and the data mining that went into it
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