Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
IEEE

Implementation of Synthetic Minority Over-Sampling Technique in the Anaemia Classification Using the LSTM and Bi-LSTM Algorithms

Abstract: Anaemiais a health disorder characterized by a lack of red blood cells in a person's body. Anaemia sufferers will tire more quickly, and their faces look paler than normal people's. Anaemia ...
IEEE

Convolutional Autoencoder With Sequential and Channel Attention for Robust ECG Signal Denoising With Edge Device Implementation

Abstract: Electrocardiograms (ECG) are vital for diagnosing various cardiac conditions but are often corrupted by noise from multiple sources, which can hinder accurate interpretation. Denoising ECG ...
GitHub

Python3 implementation of a pick and place task with Franka Emika's Panda robot

Following the MoveIt "Quickstart in RViz tutorial" after completing above steps is a good indicator if things are set up properly. Instead of using roslaunch and the pick-and-place.launch file, you ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
GitHub

nishatrhythm/Machine-Learning-Lab

This repository contains various machine learning implementations and examples ranging from classic reinforcement learning (Q-Learning) to advanced deep learning techniques (CNN, LSTM, GAN, GNN). Each ...
Frontiers

Human intention recognition by deep LSTM and transformer networks for real-time human-robot collaboration

Humanoid and Cognitive Robotics Laboratory, Department of Automatics, Biocybernetics, and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia Collaboration between humans and robots is essential for ...