device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") data = sio.loadmat(os.path.join(data_path, 'UP', 'PaviaU.mat'))['paviaU'] labels = sio.loadmat ...
This repository provides the official implementation of "DSAINet: An Efficient Dual-Scale Attentive Interaction Network for General EEG Decoding". - zy0929/DSAINet ...
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