GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
Hacker

A Quick Introduction to Python Numpy for Beginners

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...
GitHub

Easy Few-Shot Learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification. This repository is made for you if: you're new to few-shot learning and want to learn; or you're looking ...
IEEE

Transitioning From Federated Learning to Quantum Federated Learning in Internet of Things: A Comprehensive Survey

Abstract: Quantum Federated Learning (QFL) recently becomes a promising approach with the potential to revolutionize Machine Learning (ML). It merges the established strengths of classical Federated ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
CNET

Strength Training for Beginners: How to Build a Workout Program That Will Make 2026 Your Strongest Year Yet

I'm a Fitness & Nutrition writer for CNET who enjoys reviewing the latest fitness gadgets, testing out activewear and sneakers, as well as debunking wellness/fitness myths. In my free time I enjoy ...