loser-loser-loser

loser-loser-loser's Stars

• chaidisheng/YSUthesis-master

  燕山大学工科硕士毕业论文模板

  Language:TeX6

• makeitperfect/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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• makeitperfect/CRGNet

  CRGNet：implementation of CRGNet in pytorch

  Language:Python8

• IrisStream/gcn_transformer

  GCN Transformer

  Language:Jupyter Notebook1

• eeyhsong/EEG-Transformer

  i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

  Language:Python23126

• zzx-JLU/ECLGCNN

  ECLGCNN is an emotion recognition method based on EEG data.

  Language:Python17

• yi-ding-cs/LGG

  [TNNLS-2023] This is the PyTorch implementation of LGGNet.

  Language:Python6814