Legacy repo for the Artificial Intelligence capable of patacón recognition (Now on HuggingFace)
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Updated
Dec 19, 2023 - Python
Legacy repo for the Artificial Intelligence capable of patacón recognition (Now on HuggingFace)
End-to-end deep learning framework for person identification and tracking using custom Convolutional Neural Networks (CNNs) built with TensorFlow/Keras for high-accuracy feature extraction.
Deep CNN for classifying chest X-ray images as Normal or Pneumonia. Includes experiments with data augmentation and regularization, analysis of hyperparameters, and evaluation using Accuracy, F1-score, Precision, Recall, and AUC-ROC.
This project classifies ECG Signal as AF(Atrial Fibrillation) or Non-AF(All other rhythms).This project consist of 2 different models. A custom cnn and a transfer learning model. These model are doing the same thing with different approaches.
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