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kristynapijackova's Projects

radio-modulation-recognition-networks icon radio-modulation-recognition-networks

Radio modulation recognition with CNN, CLDNN, CGDNN and MCTransformer architectures. Best results were achieved with the CGDNN architecture, which has roughly 50,000 parameters, and the final model has a memory footprint of 636kB. More details can be found in my bachelor thesis linked in the readme file.

tutorials_nns_and_signals icon tutorials_nns_and_signals

This repository contains two basic tutorials on how to use neural networks when working with signals. You can see how to use LSTM, GRU or Conv1d on an ECG5000 dataset, as well as how to create a simple anomaly detector with a help of simple autoencoder.

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