Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
IEEE

BAUODNET for Class Imbalance Learning in Underwater Object Detection

Abstract: Underwater object detection is of great significance for various applications in underwater scenes. However, class imbalance issue is still an unsolved bottleneck for current underwater ...
IEEE

Not All Classes are Equal: Adaptively Focus-Aware Confidence for Semi-Supervised Object Detection

Abstract: Semi-supervised object detection (SSOD) is a significant application of Semi-supervised learning to further improve object detectors but suffers more ...

I took Harvard's free online coding classes to better catch AI's errors - and they're legit

Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.
GitHub

Getting started with Ollama for Python

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...