Abstract: Sorting is a key computational kernel in many big data applications. Most sorting implementations focus on a specific input size, record width, and hardware configuration. This has created a ...

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

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

hd Photoshop CS5 Tutorial showing how to use the Content Aware feature and Photomerge. Weight-loss drugs draw thousands of lawsuits alleging serious harm Republican senator shifts Trump insult toward ...

This repository serves as a central hub for SakanaAI's Evolutionary Model Merge series, showcasing its releases and resources. It includes models and code for reproducing the evaluation presented in ...