Deep Learning with Yacine on MSN

Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...
Deep Learning with Yacine on MSN

AdamW optimizer from scratch in Python – step-by-step tutorial

Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep ...
IEEE

Deep Reinforcement Learning for Large-Scale Efficient Routing of Electric Vehicles

Abstract: Future smart transportation is anticipated to be much enhanced by autonomous electric vehicles, but efficient routing remains a challenge due to uncertainties and time constraints. Exact ...
IEEE

A Hybrid Deep Learning Model for UAV Path Planning in Dynamic Environments

Integrating Unmanned Aerial Vehicles (UAVs) into military operations has become increasingly significant in recent years. In practical missions, UAVs are usually operated in unpredictable conditions, ...
GitHub

A comprehensive Python framework designed for exploring the loss landscapes of deep ...

Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...
GitHub

TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling" (ICLR 2025)

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...