power-law
There are 1 repository under power-law topic.
zahrasalarian / Digital-Image-Processing-for-Medical-Applications
This repository contains projects related to various aspects of image processing, from basic operations to advanced techniques like active contours. Examples and case studies focus on applications in medical imaging.
Language:Jupyter Notebook 22faldupriyank / grasp
Source code for the evaluated benchmarks and proposed cache management technique, GRASP, in [Faldu et al., HPCA'20].
Language:Emacs Lisp 17sor16 / bdrc
Fits a discharge rating curve based on the power-law and the generalized power-law from data on paired water elevation and discharge measurements in a given river using a Bayesian hierarchical model as described in Hrafnkelsson et al. (2022)
Language:R 11haihabi / PyNNcml
Library for rain estimation and detection built with PyTorch. This library provides an implementation of algorithms for extracting rain-rate using data from commercial microwave links (CMLs). Addinaly this project provide an example dataset with data from two CMLs and implementation of performance and robustness metrics
Language:Python 8ease-lab / grasp
Source code for the evaluated benchmarks and proposed cache management technique, GRASP, in [Faldu et al., HPCA'20].
Language:Emacs Lisp 7Source code for the graph reordering technique, DBG, published in [Faldu et al., IISWC'19].
Language:Emacs Lisp 5Source code for the graph reordering technique, DBG, published in [Faldu et al., IISWC'19].
Language:Emacs Lisp 4omarmnfy / Power-Law-Fit-Distribution-MATLAB
This repository provides MATLAB implementations of plfit and plpva functions for fitting power-law distributions to empirical data using maximum likelihood estimation (MLE) and statistical goodness-of-fit tests. These tools accurately model complex systems with significant tail behaviors, common in fields like physics, biology, and economics.
Language:MATLAB 2stdlib-js / random-base-pareto-type1
Pareto (Type I) distributed pseudorandom numbers.
Language:JavaScript 2Create a readable stream for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.
Language:JavaScript 2Abhi-Sutar / FDM-NonNewt
Solves the Cauchy Momentum equations for a non-newtonian incompressible fluid using the Finite Difference Method on a 2D grid. The solver is of the explicit type with each iteration corresponding to a step forward in time. The viscosity is updated at each grid point as per the truncated power law.
Language:Jupyter Notebook 1atkinsjeff / csc_powerlaw
Code and data repository supporting "Power-law scaling relationships link canopy structural complexity and height across forest types."
Language:R 1burcgokden / Power-Law-Graph-Transformer
Implementation of Power Law Graph Transformer for Machine Translation and Representation Learning.
Language:Python 1mahozad / graph-analysis
The project for the course "Web Information Retrieval"
Language:Kotlin 1sr-lab / skeptic-lang
A DSL for asserting password composition policy effectiveness.
Language:Idris 1Create an array containing pseudorandom numbers drawn from a Pareto (Type I) distribution.
Language:JavaScript 1Create an iterator for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.
Language:JavaScript 1Natural logarithm of the probability density function (PDF) for a Pareto (Type I) distribution.
Language:JavaScript 1Pareto distribution (Type I) probability density function (PDF).
Language:JavaScript 1- LabLOCP_A_Project
carlosgorlongaiatto / LabLOCP_A_Project
South-California earthquakes data analysis.
Language:Jupyter Notebook 0 markkukuismin / gap-com
Modified gap statistic (gap-com) for regularization selection of sparse networks. This method is aimed for complex network estimation.
Language:R 0yuichiwsk / MP_CF_powerlaw
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
0- Language:Python
Fay-Balhareth / Lab-4
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.
imsatyasaiteja / Network_Science
Research project that focuses on observing the Resilience of Delhi Road Networks to Traffic Disruptions
Language:Jupyter Notebooksavvas-paragkamian / menzerath_altmann_law_gene_families
This the code of my bachelor thesis with the CG2 lab in the university of Crete.
Language:Perl
