Implementation of statistics used for paper soon to be cited here
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Updated
Oct 24, 2017 - Python
Implementation of statistics used for paper soon to be cited here
Cài đặt thuật toán tìm kiếm và sắp xếp trên data từ điển. Các bạn từ lớp thầy Chỉnh muốn tham khảo bài nhớ chú ý chọn commit có nội dung phù hợp -> browse files từ commit đó để tham khảo, tui có cập nhật code và commit lại, có thể không giống như miêu tả lúc nộp bài cho thầy.
Generate Borderline Noise for Classification Problems
Resources and exercises done for the Algorithmic Methods in Problems Resolution ("Métodos algorítmicos en resolución de problemas") subject.
Genon is a generator of nonlinear preferences for intelligent artificial agents.
📦 Lempel-Ziv Complexity, fast implementations with 🐍 Python (naive, Numba or Cython for speedup), Open-Source (MIT) 👍 →
A collection of sorting algorithms implemented in C++
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!
Projeto algorithms - Projeto avaliativo da Trybe do Bloco 35: Algoritmos
Assessing consciousness by perturbing a dynamic mean-field whole-brain model fitted to empirical neuroimaging data
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+
This source code (in Python) is a preliminary implementation of my quadratic-time positive integer matrix multiplication.
Python and R Codes for Computing Permutation Entropy
📦 Lempel-Ziv Complexity, fast implementation in Julia, Open-Source (MIT) 👍 →
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.
Set of projects using diverse programming tecniques
Cyclomatic complexity of R functions and expressions
Cyclomatic complexity measures for Python source code using CPython bytecode
Parallel random matrix tools and complexity for deep learning
C++ Code Complexity Measurement System
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