MiladSoleymani/baseline_models_eeg

baseline_models_eeg

This repository contains baseline models for EEG (electroencephalography) data analysis. It provides implementations of various machine learning models and tools for EEG signal processing and classification.

Table of Contents

• Overview
• Features
• Requirements
• Installation
• Usage
• Repository Structure
• Contributing
• License

Overview

The baseline_models_eeg project includes baseline models to facilitate EEG data analysis, aiming to provide a solid foundation for further research and development in EEG-based applications.

Features

• Preprocessing of EEG signals
• Implementation of baseline machine learning models
• Evaluation scripts for model performance

Requirements

• Python 3.x
• Required packages listed in requirements.txt

Installation

1. Clone the repository:

   git clone https://github.com/MiladSoleymani/baseline_models_eeg.git
   cd baseline_models_eeg

2. Create a virtual environment and install dependencies:

   python -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt

Usage

To run the preprocessing and model training scripts, use the following commands:

python scripts/preprocess.py --config configs/preprocess_config.yaml
python scripts/train.py --config configs/train_config.yaml

Repository Structure

• baseline: Contains baseline models and training scripts.
• notebooks: Jupyter notebooks for data exploration and model development.
• scripts: Preprocessing and utility scripts.
• configs: Configuration files for preprocessing and training.
• .gitignore: Specifies files to ignore in the repository.
• requirements.txt: Lists the dependencies required for the project.
• README.md: Project documentation.

Contributing

We welcome contributions to improve baseline_models_eeg. Please fork the repository, create a new branch, and submit a pull request with your changes.

License

This project is licensed under the MIT License. See the LICENSE file for more details.