Signal-to-Sequence-Transformer is a deep learning classifier designed specifically for one-dimensional signal data. It uses a transformer architecture to deliver accurate results efficiently. This application aims to help users classify various types of signal data such as time series, making it ideal for applications like health monitoring, audio analysis, and beyond.
- Deep Learning: Utilizes advanced neural network techniques for better classification.
- Transformer Architecture: Efficient processing of sequence data for enhanced speed and accuracy.
- User-Friendly Interface: Simple setup and operation for non-technical users.
- Versatile Applications: Suitable for various signal types, including medical signals and sensor data.
Before downloading, ensure your system meets the following requirements:
- Operating System: Windows 10 or later, MacOS, or Linux
- RAM: Minimum 8GB recommended for optimal performance
- Processor: Intel i5 or equivalent
- Python Version: Python 3.6 or later
- Additional Software: Anaconda recommended for managing packages
Follow these simple steps to download and run the application:
-
Visit the Releases Page: Go to the official releases page by clicking the link below.
-
Choose the Right Version: Look for the latest version listed. Check the release notes for any important updates or changes.
-
Download the File: Click on the appropriate asset (e.g., Windows, MacOS, or Linux). Ensure you select the correct one for your operating system.
-
Install the Application:
- For Windows: Double-click the downloaded '.exe' file to start the installation.
- For MacOS: Open the '.dmg' file and drag the application to your Applications folder.
- For Linux: Extract the downloaded file and follow the included instructions to install.
-
Run the Application: Once installation is complete, you can launch the application from your programs menu or Applications folder.
After installation, follow these steps to classify your signals:
-
Load Your Data: Open the application and import your 1D signal data file. Ensure your file is in a compatible format (e.g., CSV).
-
Select Parameters: Adjust the parameters as per your requirements. This may include settings such as signal length and classification types.
-
Start Classification: Click the 'Run' button. The application will process your data and provide results.
-
View Results: Once the classification is complete, you will see the output directly in the application. You can save this output for further analysis.
For deeper insights into using the application, refer to the detailed user guide available on the GitHub Wiki. This resource covers advanced features, troubleshooting, and FAQs.
To keep the application up to date:
-
Check for Updates: Visit the releases page periodically.
-
Download New Versions: Follow the same steps as the initial download to install the latest version.
-
Install Over Previous Versions: The installer will typically overwrite the previous version. Make sure to back up any important data before updating.
If you encounter issues:
- Ensure you have the correct version for your operating system.
- Check that your system meets the requirements listed above.
- Restart the application if it does not respond.
- For persistent problems, refer to the GitHub Issues page for community support or to report bugs.
Join discussions and get help in our community forum linked in the GitHub repository. It’s a great place for users to share tips, ask questions, and collaborate on features.
Follow the link to download the latest version from the releases page: