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Aditya2162
/
ivus-segmentation

Image Segmentation
Keras
TensorBoard
TF-Keras
English
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Aditya2162/ivus-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use Aditya2162/ivus-segmentation with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://Aditya2162/ivus-segmentation")
    
  • Notebooks
  • Google Colab
  • Kaggle
ivus-segmentation
1.23 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
Aditya2162's picture
Aditya2162
Update README.md
bce169b verified 3 months ago
  • data
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  • deepivus
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  • docs
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  • evals
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  • models
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  • .gitattributes
    4.95 kB
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  • .gitignore
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  • DeepIVUS.py
    230 Bytes
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  • IVUS Segmentation.pptx
    5.27 MB
    xet
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  • README.md
    3.8 kB
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  • environment.yml
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  • multitask_finetuning_comprehensive_memo.pdf
    1.31 MB
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  • poetry.lock
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  • pyproject.toml
    744 Bytes
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