Berdakh Abibullaev

eeg-pytorch-bci. This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.

mne-codes. This repository provides a collection of example codes and tutorials for EEG data analysis using MNE-Python. The scripts are designed to assist researchers and students in understanding and applying MNE-Python for various EEG data processing tasks.

EEG-Source-Imaging-with-MNE-Python. Collection of codes created for EEG source imaging using MNE python

P3Net. Source codes for reproducing the results presented in "A Systematic Deep Learning Model Selection for P300-Based Brain-Computer Interfaces" paper.

Transformers-for-EEG-classification. Transformer-based deep learning architecture for EEG classification tasks using PyTorch. Designed for decoding neural signals with temporal and spatial attention.

mne_workshop_amsterdam. Materials for workshops on the open neural time series analysis toolbox MNE-Python

Seizure-Detection-Pipeline-Using-EEG-Data-and-Transformers. This repository provides a comprehensive pipeline for automated seizure detection using EEG data and Transformer-based deep learning models. The pipeline encompasses data preprocessing, model training, evaluation, and utilities for handling EEG datasets.

my_tech_resources. List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful

ERDS-Pytorch. A CNN model selection for decoding EEG motor-imagery patterns via PyTorch

AlgorithmsNeuroscience. Open Educational Resources for Algorithmic Decision-Making in Neuroscience

ROBT407. ROBT407

ML-foundations. Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

market-toolkit. A collection of stock market resources and tools

the-incredible-pytorch. The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

mne-python. MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

mne-workshops. A collection of workshop materials.

uhbmi_source_imaging. EEG analysis pipeline using the FieldTrip toolbox

LSL_Mindaffect_guide. This repository provides a step-by-step guide to integrating the g.USBamp EEG amplifier from g.tec with the MindAffect open-source Brain-Computer Interface (BCI) system using the Lab Streaming Layer (LSL) protocol.