This is the Windows app named Surya whose latest release can be downloaded as Firstrelease!sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Surya with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
Surya
DESCRIPTION
Surya is an open‑source, AI‑based foundation model for heliophysics developed collaboratively by NASA (via the IMPACT AI team) and IBM. Named after the Sanskrit word for “sun,” Surya is trained on nine years of high‑resolution solar imagery from NASA’s Solar Dynamics Observatory (SDO). It is designed to forecast solar phenomena—such as flares, solar wind, irradiance, and active region behavior—by predicting future solar images with a sophisticated long–short vision transformer architecture, thereby enabling improved space weather forecasting.
Features
- 366-million‑parameter foundation model capturing general-purpose solar representations
- Employs long–short range transformer with spectral gating for spatiotemporal modeling
- Foresees solar flares, wind, EUV spectra, and active region formation in advance
- Achieves approximately 16% improvement in forecasting accuracy over traditional methods
- Offers up to two hours of lead time for solar flare predictions
- Released as open-source (code on GitHub, model on Hugging Face) with accompanying dataset benchmarks (SuryaBench)
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/surya.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
