Deep Learning with Yacine on MSN

Adadelta Optimizer From Scratch in Python – Step-by-Step Tutorial

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 From Scratch in Python – Step-by-Step Tutorial

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

Creating Python GUIs With GIMP

GUI design can be a tedious job, requiring the use of specialist design tools and finding a suitable library that fits your ...
BellaNaija

Want the Perfect Soft Glam? Dimma Umeh Just Shared the Only Tutorial You’ll Ever Need

Dimma Umeh is serving us another beauty gem, and this time it’s The Ultimate Soft Glam Makeup Tutorial. If you’ve ever wanted that perfect in-between look — not too heavy, not too bare — this is the ...
GitHub

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 23 state-of-the-art ...
India Today

Nano Banana AI guide: Step-by-step tutorial to make 3D figurines with Google AI

A new AI trend has taken the internet by storm. You can now use Google's Gemini 2.5 Flash 'Nano Banana' engine to create 3D figurines from an image. Here's the step ...
IEEE

Classification Task-Driven Hyperspectral Band Selection via Interpretability From XGBoost

Abstract: Band selection (BS) identifies key bands from hyperspectral imagery (HSI) for specific downstream tasks, playing a pivotal role in practical applications. eXtreme Gradient Boosting (XGBoost) ...
IEEE

ELXGB: An Efficient and Privacy-Preserving XGBoost for Vertical Federated Learning

Abstract: With the rapid growth of Internet data volumes, Big Data analysis technologies have gradually permeated all aspects of life. However, the existence of data silos and the promulgation of ...