Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov momentum, and shows you how to ...

Photos of Malaysia's health minister Dzulkefly Ahmad and a former government official have been manipulated with AI and shared in social media posts advertising an unauthorised joint cream -- which ...

Welcome to the host repository of the Turing Change Point Dataset, a set of time series specifically collected for the evaluation of change point detection algorithms on real-world data. This dataset ...

This repository provides a BoTorch/GPyTorch implementation of the BEEBO acquisition function for batched Bayesian Optimization. The BEE-BO acquisition function is fully compatible with BoTorch and is ...

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.

Listening in an acoustically cluttered scene remains a difficult task for both machines and hearing-impaired listeners. Normal-hearing listeners accomplish this task with relative ease by segregating ...

Fiber clustering methods are typically used in brain research to study the organization of white matter bundles from large diffusion MRI tractography datasets. These methods enable exploratory bundle ...