In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...

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

Cirbo is a Python library that provides methods for Boolean circuit manipulation, analysis, and synthesis The main library features are described in the paper "Cirbo: A New Tool for Boolean Circuit ...

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 ...

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 ...