GitHub

Computational Methods for Economists using Python, by Richard W. Evans

This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is freely available online as an ...
GitHub

A Qt5 GUI written in Python for Wilson - Devinney eclipsing binary modeling software.

UPDATE: Version 1.0.0 now has some small but useful updates. Download and try the source code or the precompiled Windows executable file available here. IMPORTANT NOTE: TESS bandpass was added to ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

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

Design Automation of Analog and Mixed-Signal Circuits Using Neural Networks—A Tutorial Brief

Abstract: This tutorial brief shows how Artificial Neural Networks (ANNs) can be used for the optimization and automated design of analog and mixed-signal circuits. A survey of conventional and ...