So, you want to learn Python, huh? It’s a pretty popular language these days, used for all sorts of things from making websites to crunching numbers. The good news is, you don’t need to spend a ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

This repository contains a set of classes and functions for doing numerical linear algebra in Python. It is meant to bridge the gap from more fundamental libraries such as numpy.linalg, scipy.linalg ...

CLA is a simple toy library for basic vector/matrix operations in C. This project main goal is to learn the foundations of CUDA, and Python bindings, using ctypes as a wrapper, through simple Linear ...

Many authors have long been engaged in the automatic generation of test items or stimuli, recognizing their potential for improving test efficiency, scalability, and psychometric quality. Pioneering ...