Instructions to use sid512206/CardioNet-XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sid512206/CardioNet-XL with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sid512206/CardioNet-XL") - Notebooks
- Google Colab
- Kaggle
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# CardioNet-XL 🫀
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[](https://huggingface.co/sid512206/CardioNet-XL)
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[](https://www.tensorflow.org/)
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[](https://physionet.org/content/ptb-xl/)
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[](LICENSE)
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**CardioNet-XL** is a specialized 1D Convolutional Neural Network (CNN) designed for multi-label classification of cardiac abnormalities from ECG signal data. Trained on the **PTB-XL dataset**, the model is optimized to detect five specific classes, providing a high-precision screening tool for clinical decision support.
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license: mit
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language:
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- en
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tags:
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- medical
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---
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# CardioNet-XL 🫀
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[](https://huggingface.co/sid512206/CardioNet-XL)
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[](https://www.tensorflow.org/)
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[](https://physionet.org/content/ptb-xl/)
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**CardioNet-XL** is a specialized 1D Convolutional Neural Network (CNN) designed for multi-label classification of cardiac abnormalities from ECG signal data. Trained on the **PTB-XL dataset**, the model is optimized to detect five specific classes, providing a high-precision screening tool for clinical decision support.
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