GitHub

Toolkit for Hawkes Processes in Python

The purpose of Sparklen package is to provide the Python community with a complete suite of cutting-edge tools specifically tailored for the study of exponential Hawkes processes, with a particular ...
IEEE

Comparison and Applications of Multiplying 2 by 2 Matrices Using Strassen Algorithm in Python IDLE, Jupyter Notebook, and Colab

Abstract: Even though the task of multiplying matrices appears to be rather straightforward, it can be quite challenging in practice. Many researchers have focused on how to effectively multiply two 2 ...
IEEE

Dynamic Stochastic Reorientation Particle Swarm Optimization for Adaptive Latent Factor Analysis in High-Dimensional Sparse Matrices

Abstract: The latent factor analysis (LFA) model has been widely used to uncover latent relationships from high-dimensional sparse (HiDS) matrices. However, the performance of LFA depends largely on ...
GitHub

A Python library for Covariate-Adjusted Maximum Likelihood Multidimensional Scaling (MDS)

This repository provides a Python implementation of Covariate-Adjusted Multidimensional Scaling (MDS), utilizing Maximum Likelihood Estimation (MLE) based on the log-linear model framework originally ...