power-laws

Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)

Code and Notes for fat-tailed statistics.

Java library for the analysis of power law distributed data. Scroll down for README.

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

The repo of "Exploring the Network of Real-World Passwords: Visualization and Estimation" in SecureComm 2017.

This repo contains implementation of CNN based regression network for Pupil Center Estimation in smartphones

maintainance of the code for complex network analysis based modeling of Event Related Potential (ERP) electroencephalography (EEG) data from baby brain, can be applied to other data, including human brain.

Maximum Likelihood Estimate for power laws

Fitting and model checking a dynamic model for directed scale-free networks on a bitcoin network dataset.

Source code and some more results (coming soon) of our WWW2022 paper: Is Least-Squares Inaccurate in Fitting Power-Law Distributions

Official site of Biophys group at Unito

This repository shows programming assignments with R which I completed during Social Network Analysis Course at University.

Generalized non linear model applied to species-area relations

DTU Course on Computational Tools for Data Science

Implementation https://arxiv.org/abs/1802.05495

Supplementary code for the article “Universality classes of Zipf laws”. A rank exponent is the quotient of two competing rates, which is why the law is universal and why the slope alone identifies no mechanism. Exact samplers, a divisor sieve, tail estimators and all twelve figures, regenerated by one command.