Welcome to SpacePhyML
SpacePhyML is a framework for working with space physics datasets. It aims to bring togheter already existing datasets for ease of usage and enable the simple creation of new datasets in the future. It is built on the torch dataset class but can be used in Tensorflow.
Checkout the Quick Start to get going.
Automatics in Space Exploration (ASAP)
The ASAP project is dedicated to designing and developing advanced algorithms that leverage artificial intelligence to automate onboard operations for space missions. These algorithms are specifically tailored for implementation on onboard processors, enhancing the efficiency, autonomy, and reliability of space systems. By integrating AI techniques, the project aims to reduce manual intervention, optimize mission performance, and enable smarter decision-making in real-time operational scenarios.
Futher information can be found on the ASAP Project website, and the latest updates are posted on the project LinkedIn page: Website: asap-space.eu LinkedIn: linkedin.com/company/asap-space/ Youtube: youtube.com/@ASAP-space-eu
ASAP has received funding from the European Union’s HORIZON Research and Innovation Action under the Grant Agreement No 101082633. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union.