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

Includes a demonstration of concepts with Gesture Recognition. This was created as part of an educational for the Western Founders Network computer vision and machine learning educational session. For ...

This repository is a simple project to demonstrate how to implement a pipeline for object detection and tracking using NVidia DeepStream. It also contains a simple implementation of a custom ...

Abstract: Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal propagation in wireless networks. By smartly tuning the signal reflection via a large number of ...

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...