Demonstrate Zipf's law with Sherlock Holmes' stories

Bitcoin market cycle analysis — halving patterns, power law models, diminishing returns projections

Shows the Bitcoin & Kaspa power law price channels

Simulating governance structures (Kubernetes clusters, organizations) as spiking neural networks to study phase transitions and cascade failures

Modified gap statistic (gap-com) for regularization selection of sparse networks. This method is aimed for complex network estimation.

Symbolic Regression - Function Discovery

Text Clustering Toolkit for Bayesian Nonparametric Analysis

Distinguish power-law and geometric (discrete exponential) distributions using RStan with bridge sampling

This the code of my bachelor thesis with the CG2 lab in the university of Crete.

Estimate tail parameters of heavy-tailed distributions (including power law exponent gamma) in Python

This lab focuses on image transformation techniques in OpenCV with Python. Tasks include creating mirror images using both Affine and Projective transformations, applying a Log Transformer for contrast adjustment, and implementing a Power-Law Transformer for gamma correction.

Create an array containing pseudorandom numbers drawn from a Pareto (Type I) distribution.

限られた粒径のマイクロプラスチックの実測データに当てはめたべき分布のスケールパラメタ等から、未計測の粒径範囲を含むマイクロプラスチック濃度を推定するための補正係数の計算方法

The idea is to propose several models based on Bayesian inference to estimate the likelihood of certain events in Venture Capital

Create a readable stream for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.

Generate pseudorandom numbers drawn from a Pareto (Type I) distribution.

Research Lab: How do cascades spread in networks - Multi-agent analysis of propagation mechanisms, power-law dynamics, and network vulnerability

Implementation of Power Law Graph Transformer for Machine Translation and Representation Learning.

The project for the course "Web Information Retrieval"

Power Law Plotting Bitcoin