Technique to quantify textual complexity based on Kolmogorov complexity and implemented with PyLZMA compression.
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Updated
Oct 10, 2024 - Jupyter Notebook
Technique to quantify textual complexity based on Kolmogorov complexity and implemented with PyLZMA compression.
A Python package implementing informational complexity (ICOMP) criteria for regression models
C++ Code Complexity Measurement System
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Cyclomatic complexity measures for Python source code using CPython bytecode
Cyclomatic complexity of R functions and expressions
Set of projects using diverse programming tecniques
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.
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Python and R Codes for Computing Permutation Entropy
This source code (in Python) is a preliminary implementation of my quadratic-time positive integer matrix multiplication.
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NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing. This is an adaptation to take RRI or peak times from fetal and maternal heart rate data as input and output 60+ HRV measures including optimal time delay-based complexity measures with user-definable time window length. Huge thanks to the team of neurokit!
A collection of sorting algorithms implemented in C++
📦 Lempel-Ziv Complexity, fast implementations with 🐍 Python (naive, Numba or Cython for speedup), Open-Source (MIT) 👍 →
Genon is a generator of nonlinear preferences for intelligent artificial agents.
Resources and exercises done for the Algorithmic Methods in Problems Resolution ("Métodos algorítmicos en resolución de problemas") subject.
Generate Borderline Noise for Classification Problems
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