Deep Learning with Yacine on MSN

How to implement stochastic gradient descent with momentum in Python

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.
Deep Learning with Yacine on MSN

Adadelta optimizer explained – Python tutorial for beginners & pros

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
IEEE

A Survey of Recent Advances in Optimization Methods for Wireless Communications

Abstract: Mathematical optimization is now widely regarded as an indispensable modeling and solution tool for the design of wireless communications systems. While optimization has played a significant ...
IEEE

An Evolutionary Algorithm for Solving Large-Scale Robust Multiobjective Optimization Problems

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...
GitHub

Simplex Embedding for Generalised Probabilistic Theory (GPT) Fragments

A Python implementation of the algorithm introduced in arXiv:2204.11905 [quant-ph] to find a simplex embedding for a (possibly depolarised) generalised probabilistic theory (GPT) fragment.
GitHub

Porcupy: Crested Porcupine Optimizer

Porcupy implements the Crested Porcupine Optimizer (CPO), a nature-inspired metaheuristic that mimics porcupine defense mechanisms for optimization. It offers both object-oriented and procedural ...