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

CLA is a simple toy library for basic vector/matrix operations in C. This project main goal is to learn the foundations of CUDA, and Python bindings, using ctypes as a wrapper, through simple Linear ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming languages for beginners and experts alike. We’ve compiled a list of 10 online ...

Abstract: The design of a lightweight deep learning model would be an ideal solution for overcoming resource limitations when implementing artificial intelligence in edge sites. In this study, we ...

The output path must be a directory; it will be created if it does not exist. Input formats are auto-detected per file. Unsupported formats and write-only inputs (e.g., SVG) are skipped with a warning ...