astroNN
The premium Open Source alternative to Custom TensorFlow scripts
🎯 Best for:Astronomers applying deep learning to large-scale survey data.
What is astroNN?
Replaces manual feature engineering in astronomy with neural network architectures. It includes pre-trained models for stellar parameters and chemical abundances using Keras.
Tech Stack
PythonPhysics & Astronomy
Why astroNN?
- • Pre-trained models
- • Keras integration
- • Uncertainty estimation
Limitations
- • Requires GPU
- • Data-hungry
- • Black-box nature
12/23/2025
Last Update
50
Forks
7
Issues
MIT
License
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Competitor Cost
-$1,440
/ year (est. based on Custom TensorFlow scripts)
Self-Hosted
$0
/ year
Team Size10 Users
150+
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