Welcome to UniCorn! This application helps you improve your models using self-generated supervision. Follow these steps to download and run the software easily.
Visit the Releases Page
Click the button above or visit this page to download the software: UniCorn Releases
Choose the Latest Version
On the releases page, find the latest version of UniCorn. Look for a title that indicates it is the newest release, such as βLatest Release,β followed by the version number.
Download the Software
Click on the appropriate file for your operating system. Common options may include:
.exe.dmg.tar.gz or similar.Open the Downloaded File
Once the download finishes, locate the file on your computer. You can usually find it in your βDownloadsβ folder. Double-click the file to start the installation process.
Follow the Installation Wizard
A setup window will open. Follow the on-screen instructions. You may need to choose installation options, such as agreeing to the terms and conditions.
Launch UniCorn
After the installation is complete, look for the UniCorn application icon on your desktop or in your applications menu. Double-click the icon to launch the application.
To run UniCorn smoothly, ensure your computer meets the following requirements:
UniCorn offers a variety of features to enhance your modeling efforts:
1. What is UniCorn?
UniCorn is a tool designed to help users improve their models with self-generated supervision. It supports various data types and provides an intuitive interface.
2. Can I run UniCorn on my computer?
If your system meets the requirements listed above, you can run UniCorn successfully.
3. Is there support available?
Yes, you can reach out for help through our GitHub Issues page.
For any questions or feedback, please contact the team through the GitHub repository or directly reach out to the authors via their linked profiles in the project description.
For more information about UniCorn and to stay updated on its development, check out the following links:
Thank you for choosing UniCorn! We hope you find it useful in your modeling tasks.