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4 search results found

Har Keras Cnn ⭐ 137

Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Ecg Atrial Fibrillation Classification Using Cnn ⭐ 17

This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.

Timeseries Rnn ⭐ 9

Time-series forecasting with 1D Conv model, RNN (LSTM) model and Transformer model. Comparison of long-term and short-term forecasts using synthetic timeseries. Sequence-to-sequence formulation.

Classification_models_1d ⭐ 8

Classification models 1D Zoo - Keras and TF.Keras

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