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 ...
GitHub

Complete Point Of Sale (POS)

This advanced POS system will help you to manage your business in a very easy and clean way. The attractive and minimalistic design will guide you spontaneously to create invoice, tracking the product ...
The Grocer

Select & Save targets Co-op using price comparison PoS material

Select & Save has begun benchmarking prices against the Co-op, using new in-store PoS to show shoppers where it undercuts the convenience giant. The shelf-edge material compares Select & Save’s ...
GitHub

A Python Implementation of the CME FedWatch Tool Methodology

PyFedWatch is a Python implementation of the CME FedWatch Tool. It is packaged to enable Python developers to access and utilize the functionality of the CME FedWatch Tool programmatically. PyFedWatch ...