Radio Frequency Machine Learning with PyTorch

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

Detection of human emotions from eeg signals using the amigos dataset

Code for "Complex-Valued Depthwise Separable Convolutional Neural Network for Automatic Modulation Classification"

This repository contains the implementation of the modified convolutional neural network (MCNN) for classification of Frequency-Hopping Spread Spectrum Signals using the time-frequency representations (TFRs) as an images.

📈 Análise e processamento de sinais com SVD

AtrialFibrillation-Classification-SMoLK is a deep learning project designed to classify arrhythmias, specifically focusing on atrial fibrillation (Afib), using the MIT-BIH Arrhythmia Database. The project leverages a neural network model with learned filters to achieve high classification accuracy across multiple classes.

Classification of biosignals, including EEG and MEG, through feature extraction in the time and frequency domains using machine learning methods.

VBS Power Line Fault Detection (Kaggle challenge)

Real-time robot collision detection using supervised learning methods

Deep Leaning for Classification of drone signals.

One of the firsts dataset level explanability libraries for 1d signal using GRAD-CAM++

A deep learning project classifying ECG signals using time series models