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GitHub / DePrinsT / organic
ORGANIC, or Object Reconstruction with Generative Adversarial Networks from InterferometriC data, is a Python package that uses neural networks to reconstruct images from the data provided by modern optical interferometry observatories (VLTI, CHARA, etc.).
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DePrinsT%2Forganic
Stars: 0
Forks: 0
Open Issues: 0
License: gpl-3.0
Language: Python
Repo Size: 171 MB
Dependencies:
22
Created: 27 days ago
Updated: about 6 hours ago
Last pushed: about 6 hours ago
Last synced: about 4 hours ago
Topics: astronomy, astrophysics, neural, python, science
Files
Dependencies
- astropy ==4.0.2
- matplotlib ==3.3.2
- numpy ==1.19.2
- scikit-learn ==0.24.2
- scipy ==1.4.1
- tensorflow ==2.2.0
- astropy ==4.0.2
- matplotlib ==3.3.2
- numpy ==1.19.2
- pip ==21.3.1
- renku-sphinx-theme ==0.4.0
- scikit-learn ==0.24.2
- scipy ==1.4.1
- sphinx ==4.4.0
- sphinx-rtd-theme ==1.1.0
- sphinxcontrib-applehelp ==1.0.2
- sphinxcontrib-devhelp ==1.0.2
- sphinxcontrib-htmlhelp ==2.0.0
- sphinxcontrib-jsmath ==1.0.1
- sphinxcontrib-qthelp ==1.0.3
- sphinxcontrib-serializinghtml ==1.1.5
- tensorflow ==2.2.0