Scripts and Models
Scripts, Data and Models
This page is to make available Deep Learning models, codes and other resources.
The main ingredients for running the examples are: TensorFlow, Keras, Anaconda Python 3, Matplotlib, Numpy.
Deep Learning models used in the paper “Deep Learning Assessment of galaxy morphology in S-PLUS DataRelease 1”:
EfficientNetB2 (3 Bands – pretrained) EfficientNetB2 (5 Bands) EfficientNetB2 (8 Bands) EfficientNetB2 (12 Bands)
Catalogs: https://github.com/cdebom/splus_morph
Student Projects and Class Examples
Student’s Projects:
Star/Galaxy separation (Igor Reis)Semantic Segmentation of CT scans (Sheila Monteiro)Indoor Localization (Victor Fonseca)Credit Card Fraud Detection (Filipe Melo)Few-Shot Learning Lensing Finder (Kayque Teles)X-Ray Classification (Vitor Machado)Wine Quality - White (Alan Almeida)Wine Quality - Red (Alan Almeida)
Class Examples and Tasks:
