IEEE

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
IEEE

Machine Learning and Deep Learning Approaches for Fake News Detection: A Systematic Review of Techniques, Challenges, and Advancements

Abstract: In response to the escalating threat of fake news on social media, this systematic literature review analyzes the recent advancements in machine learning and deep learning approaches for ...
GitHub

This repository includes unsupervised (k-means clustering) and supervised (RF and CNN) machine learning models for analyzing complex surface topographies.

Cite as: {Henkel, M., Sprenger, M., and Lieleg, O., Machine learning for small data sets: an exemplary study on the classification of highly complex surface micromorphologies, unpublished work} The ...
GitHub

A model-driven approach to building AI agents in just a few lines of code.

This repository contains the documentation for the Strands Agents SDK, a simple yet powerful framework for building and running AI agents. The documentation is built using MkDocs and provides guides, ...