23 results for “topic:complexity-measure”
Measures empirical computational complexity (in both time and space) of functions
:package: Lempel-Ziv Complexity, fast implementations with :snake: Python (naive, Numba or Cython for speedup), Open-Source (MIT) :+1: →
Parallel random matrix tools and complexity for deep learning
Codeaudit - Modern Python source code security analyzer based on distrust.
A collection of sorting algorithms implemented in C++
This source code (in Python) is a preliminary implementation of my quadratic-time positive integer matrix multiplication.
Genon is a generator of nonlinear preferences for intelligent artificial agents.
Assessing consciousness by perturbing a dynamic mean-field whole-brain model fitted to empirical neuroimaging data
Generate Borderline Noise for Classification Problems
Cyclomatic complexity of R functions and expressions
Implementation of statistics used for paper soon to be cited here
Set of projects using diverse programming tecniques
:package: Lempel-Ziv Complexity, fast implementation in Julia, Open-Source (MIT) :+1: →
Technique to quantify textual complexity based on Kolmogorov complexity and implemented with PyLZMA compression.
Projeto algorithms - Projeto avaliativo da Trybe do Bloco 35: Algoritmos
C++ Code Complexity Measurement System
A series of programs that enable one's investigations in the algebraic complexity theory such as matrix multiplication algorithms, primality tests, algebraic complexity, sorting algorithms etc. Each algorithm is accompanied by a comparative time complexity analysis and a class of test cases and test suites.
Cyclomatic complexity of Python source code
Resources and exercises done for the Algorithmic Methods in Problems Resolution ("Métodos algorítmicos en resolución de problemas") subject.
A Python package implementing informational complexity (ICOMP) criteria for regression models
Python tool for scoring translation complexity using multiple metrics and approaches.
MOSAICA computes correlation of sequence complexity and DNA structure by using a prevailing model of DNA curvature prediction and recent experimental data on sequence curvature affinity using MOSAICS, pymol, x3dna, Curves+
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