AntroPy is a Python 3 package providing several time-efficient algorithms for computing the complexity of time-series. It can be used for example to extract features from EEG signals. Link to documentation Installation AntroPy can be installed with pip ...
big_O executes a Python function for input of increasing size N, and measures its execution time. From the measurements, big_O fits a set of time complexity classes and returns the best fitting class. This is an empirical way to compute the asymptotic class of a function in"Big-O". nota...
foregoing all-vs-all sequence alignments in favor of a dynamic data structure implemented in GoldRush, a de novo long read genome assembly algorithm with linear time complexity. We tested GoldRush on Oxford Nanopore Technologies long sequencing read datasets with different base error profiles sourced ...
generation of complex motor plans, and cognitive anticipation of action1,2,3,4. But how neural circuits acquire specific temporal contingencies to drive precisely timed behaviors remains elusive. A progressive increase in firing rate (“ramping”...
Time Series Extrinsic Regression (TSER) involves using a set of training time series to form a predictive model of a continuous response variable that is not directly related to the regressor series. The TSER archive for comparing algorithms was released in 2022 with 19 problems. We increase the...
With the increasing demand for digital products, processes and services the research area of automatic detection of signal outliers in streaming data has g
For the weighted all-pairs shortest path problem (APSP) several algorithms exist and are used in the benchmark. Dijkstra’s and Johnson’s algorithm have a runtime complexity of O(ne + n2log(n)), where n is the number of nodes and e the number of edges. Their main difference is, th...
The complexity of each question by itself is the reason why accessibility research is so broad. Studies measure accessibility to a wide range of employment and non-work activities, such as different occupations or job skills, and different goods, services and recreational activities. Accessibility is...
This library provides a decorator that disassembles the function's bytecode, checks if it calculates linear recurrences, and tries to reduce the algorithm's time complexity from O(n) to O(log n) using the fast matrix exponentiation.Detailed description: Russian, English.Inspired by the Alexander...
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 wi