Image-to-Image
Keras
English
gan
cgan
tensorflow
computer-vision
image-processing
astronomy
galaxy-morphology
image-segmentation
Instructions to use erukude/galaxy-simplifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use erukude/galaxy-simplifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://erukude/galaxy-simplifier") - Notebooks
- Google Colab
- Kaggle
| { | |
| "library": "keras", | |
| "task": "image-to-image", | |
| "project": "galaxy-simplifier", | |
| "paper": { | |
| "title": "Galaxy image simplification using Generative AI", | |
| "year": 2025, | |
| "doi": "10.1016/j.ascom.2025.100990" | |
| }, | |
| "input_image": { | |
| "channels": 3, | |
| "height": 256, | |
| "width": 256, | |
| "normalization": "[-1, 1]" | |
| }, | |
| "models": { | |
| "classifier": "models/galaxy_classifier_resnet50.h5", | |
| "simplifier_cgan": "models/galaxy_simplifier_cgan.h5", | |
| "postprocess_cgan": "models/postprocess_cgan.h5" | |
| }, | |
| "inference_script": "predict.py" | |
| } |