Alternatives and similar repositories for BEETL_NeurIPS_2021

Users that are interested in BEETL_NeurIPS_2021 are comparing it to the libraries listed below

• Serpeve / EEGSym
  Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…
  ☆25Updated 2 years ago
• gzoumpourlis / Ensemble-MI
  PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"
  ☆17Updated last year
• mcd4874 / NeurIPS_competition
  code for NeurIPS_competition
  ☆28Updated 3 years ago
• AutoResearch / EEG-GAN
  ☆28Updated 4 months ago
• neerajwagh / eeg-self-supervision
  Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…
  ☆22Updated 2 years ago
• eeg-augmentation-benchmark / eeg-augmentation-benchmark-2022
  Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…
  ☆48Updated 3 years ago
• kolcs / bionic_apps
  ☆17Updated 11 months ago
• CECNL / MAtt
  ☆68Updated 2 years ago
• SPOClab-ca / ThinkerInvariance
  ☆18Updated 5 years ago
• rmpeng / TIE-EEGNet
  Temporal information enhanced EEGNet
  ☆13Updated 2 years ago
• DingWenl / CNN-FormerWithEEG-ME
  CNN-Former model with EEG-ME for SSVEP classification (TNSRE)
  ☆14Updated last year
• maxxxzdn / EEGCN
  Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]
  ☆23Updated 3 years ago
• ABaldrati / AugmentBrain
  In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…
  ☆22Updated 4 years ago
• GeometricBCI / Tensor-CSPNet-and-Graph-CSPNet
  This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
  ☆73Updated last month
• MedMaxLab / selfEEG
  selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
  ☆68Updated 5 months ago
• mccorsi / FUCONE
  ☆12Updated 2 years ago
• rkobler / TSMNet
  Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…
  ☆59Updated 3 years ago
• stupiddogger / FBCSP
  implementation of FBCSP algorithm
  ☆26Updated 6 years ago
• sabinechen / SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learning
  SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…
  ☆23Updated 3 years ago
• kesslerr / m4d
  How EEG preprocessing shapes decoding performance
  ☆14Updated 4 months ago
• yzz673 / Brant-2
  ☆44Updated 8 months ago
• SPOClab-ca / dn3
  The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.
  ☆73Updated 3 years ago
• imics-lab / eeg-transfer-learning
  Source code for self-supervised EEG data transfer learning
  ☆15Updated 3 years ago
• EEGdecoding / Code-SBLEST
  Matlab code for SBLEST algorithm
  ☆44Updated last year
• gemeinl / auto-eeg-diagnosis-comparison
  ☆22Updated 2 years ago
• robintibor / braindecode
  Moved to https://github.com/TNTLFreiburg/braindecode!
  ☆67Updated 5 years ago
• High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classification
  Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper
  ☆37Updated 4 years ago
• guangyizhangbci / EEG_Riemannian
  IEEE Transactions on Emerging Topics in Computational Intelligence
  ☆70Updated 7 months ago
• sari-saba-sadiya / EEG-Channel-Interpolation-Using-Deep-Encoder-Decoder-Networks
  Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"
  ☆26Updated 3 years ago
• chongwar / gnn-eeg
  Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.
  ☆56Updated 4 years ago