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 ...

Abstract: This paper aims at introducing a new sorting algorithm which sorts the elements of an array In Place. This algorithm has O(n) best case Time Complexity and O(n log n) average and worst case ...

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 ...

Just when you thought the circular deals couldn’t get any more circular, OpenAI has invested in CEO Sam Altman’s brain computer interface (BCI) startup Merge Labs. Merge Labs, which defines itself as ...