Alternatives and similar repositories for ML_BCI_tutorial:

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

• mcd4874 / NeurIPS_competition
  code for NeurIPS_competition
  ☆28Updated 3 years ago
• numediart / Attention-EEG
  ☆20Updated 2 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 3 years ago
• maxxxzdn / EEGCN
  Classification of EEG signals into silence vs listening
  ☆20Updated 2 years ago
• chongwar / gnn-eeg
  Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.
  ☆52Updated 3 years ago
• Serpeve / EEGSym
  Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…
  ☆23Updated last year
• gzoumpourlis / BEETL_NeurIPS_2021
  Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021
  ☆11Updated 2 years ago
• michal-nahlik / neurips-beetl-2021
  NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding
  ☆12Updated 3 years ago
• mlberkeley / eeg-ssl
  Self-supervised learning for EEG
  ☆25Updated 4 years ago
• neerajwagh / eeg-self-supervision
  Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…
  ☆21Updated last year
• 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…
  ☆44Updated 2 years ago
• mauriceaj / CRNNeeg-sleep
  CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG
  ☆17Updated 4 years ago
• ssaket / eeg-pipeline
  End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python
  ☆23Updated 2 years ago
• sari-saba-sadiya / EEG-Channel-Interpolation-Using-Deep-Encoder-Decoder-Networks
  Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"
  ☆25Updated 3 years ago
• vancleys / EEGFeatures
  EEG Features to be extract from raw data.
  ☆27Updated 8 years ago
• prashanth-prakash / EEG-ANALYSIS-FOR-MOTOR-IMAGERY-APPLICATION
  ☆43Updated 6 years ago
• robintibor / braindecode
  Moved to https://github.com/TNTLFreiburg/braindecode!
  ☆62Updated 4 years ago
• CECNL / MAtt
  ☆59Updated last year
• gzoumpourlis / Ensemble-MI
  PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"
  ☆15Updated last year
• DingWenl / CNN-FormerWithEEG-ME
  CNN-Former model with EEG-ME for SSVEP classification (TNSRE)
  ☆12Updated 7 months ago
• kolcs / bionic_apps
  ☆16Updated 4 months ago
• XueJiang16 / ssl-torch
  ☆37Updated 4 years ago
• DanielLongo / eegML
  EEG physics models and adversarily trained RNNs for improved signal processing, data augmentation, and manifold generation.
  ☆14Updated 4 years ago
• likith012 / mulEEG
  Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"
  ☆34Updated 2 years ago
• SPOClab-ca / ThinkerInvariance
  ☆18Updated 4 years ago
• meeg-ml-benchmarks / brain-age-benchmark-paper
  M/EEG brain age benchmark paper
  ☆27Updated 2 years ago
• robintibor / high-gamma-dataset
  ☆73Updated 2 years ago
• hubertjb / dynamic-spatial-filtering
  Code for "Robust EEG processing with dynamic spatial filtering", Banville et al. 2021
  ☆29Updated 2 years ago
• dfreer15 / DeepEEGDataAugmentation
  Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…
  ☆28Updated 4 years ago
• tiehangd / MUPS-EEG
  Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
  ☆42Updated last year