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 ...
Deep Learning with Yacine on MSN

Nadam optimizer explained: Python tutorial for beginners & pros

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
GitHub

Compiled SNMP MIBs for Python from LibreNMS

A comprehensive collection of 298 vendor MIB libraries compiled for use with PySNMP, sourced from the LibreNMS project's curated MIB repository. This project provides tools to compile, validate, and ...
GitHub

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

[2025-06-01] Many thanks to @aherzinger for implementing and refactoring the Generator and RAG models. [2025-05-30] Huge thanks to @baraayusry for implementing the Online Retriever using CrawAI and ...
IEEE

Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples

Abstract: In this paper, we delve into a novel aspect of learning novel diffusion conditions with datasets an order of magnitude smaller. The rationale behind our approach is the elimination of ...
Wall Street Journal

How Pre-existing Conditions Affect Your Life Insurance Options

Strategies for finding the best deal if you have health issues Written By Written by Insurance Staff Writer, WSJ | Buy Side Kimberly Lankford is an insurance staff writer at Buy Side. Edited By ...
IEEE

Challenging YOLO and Faster RCNN in Snowy Conditions: UAV Nordic Vehicle Dataset (NVD) as an Example

Abstract: In the world of autonomous systems and aerial surveillance, the quest to efficiently detect vehicles in diverse environmental conditions has emerged as a pivotal challenge. While these ...