Faker is a Python package that generates fake data for you.

analysis | TF-PCA analyses with the psychophysiology toolbox (ptb)

Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and learning using Sklearn tool.

EEG preprocessing methods for classifying person emotions have been widely applied. However, there still remain some parts where determining significant preprocessing method can be improved.

Distributed Evolutionary Algorithms in Python

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K -…

Machine Learning algorithms implemented from scratch

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

CNN classifier to classify MI-EEG signals

in this mini project i will use the libraries mne and braindecode to analyze and classify public domain EEG(ML) signals provided by physionet.org

Basic ERP & Classification Analysis with Python MNE on Oddball Task Data

BrainVision EEG data classification using the MNE, Keras and the scikit-learn libraries.

An R implementation of the (multiple) Support Vector Machine Recursive Feature Elimination (mSVM-RFE) feature ranking algorithm

EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.

Data Analysis for "All-or-none neural mechanisms underlying visual categorisation: evidence of the N170".

EEG classification between 61 children with ADHD and 60 healthy controls using SVM and KNN

EEG Experiments in Python

Wavelet Based N170 ERP detection algorithm for EEG analysis

Accompanying lectures for Brain Code Camp 2023

Part of AI's Lecture

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Deep Learning Approach for UWB Applications (IEEE Journal of Biomedical and Health Informatics)

House EXP's Super AI SS3 UWB Classification Code — Timm, PyTorch, etc

A developing tutorail for radio astronomy and radio transient search