Deyht/CIANNA
Convolutional Interactive Artificial Neural Networks by/for Astrophysicists
CIANNA helps astrophysicists analyze vast amounts of astronomical data by building and training deep learning models. It takes raw or pre-processed astronomical images (like radio-astronomical data products) and outputs classifications, detected objects (such as galaxies), or other analytical results. This tool is for astrophysicists who need to efficiently process and interpret complex observational data using advanced AI techniques.
Use this if you are an astrophysicist working with large 2D or 3D radio-astronomical datasets and need a GPU-accelerated deep learning framework specifically optimized for tasks like galaxy detection and source classification.
Not ideal if your primary use case is general-purpose deep learning in domains outside of astrophysics, or if you require extensive, out-of-the-box support for non-astronomical data types or machine learning models.
Stars
53
Forks
3
Language
C
License
Apache-2.0
Category
Last pushed
Mar 20, 2026
Commits (30d)
0
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