Shypd.aiThe largest open index of AI toolsEEG-DL is an open-source Deep Learning library for EEG signal classification, built on TensorFlow. It provides a variety of deep learning algorithms for analyzing and classifying EEG tasks.
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EEG-DL is a comprehensive Deep Learning library specifically designed for Electroencephalography (EEG) signal classification, implemented using TensorFlow. This open-source library offers a wide array of state-of-the-art deep learning algorithms, including various CNN, ResNet, DenseNet, FCN, Siamese Networks, GCN, Bayesian CNNs, RNN, LSTM, GRU, and Transformer models. It supports EEG Motor Imagery (MI) benchmark datasets and provides evaluation criteria such as Confusion Matrix, Accuracy, Precision, Recall, F1 Score, Kappa Coefficient, and ROC/AUC. The library is continuously updated with the latest advancements in deep learning for EEG tasks, making it a valuable resource for researchers and developers in the field.
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