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

Approximate Computing (AxC) is being actively explored to meet the energy and performance requirements of resource-constrained embedded systems. Approximate arithmetic operators (AxOs), for instance, ...

This repository contains a Python tutorial for using the ECCO Central Production version 4 ocean and sea-ice state estimate. Directories within the repository include the (tutorial documentation) and ...

Learn how to build a 3D solar system simulation using Python! This tutorial guides you through coding planetary motion, visualizing orbits, and creating an interactive model of our solar system.

The directory addrservice is for the source code of the service, and the directory test is for keeping the tests. You can run static type checker, linter, unit tests, and code coverage by either ...