Alternatives and similar repositories for BCI-2023-Workshop_Learning-from-small-datasets

Users that are interested in BCI-2023-Workshop_Learning-from-small-datasets are comparing it to the libraries listed below

• kesslerr / m4d
  How EEG preprocessing shapes decoding performance
  ☆14Updated last month
• mccorsi / FUCONE
  ☆12Updated 2 years ago
• medusabci / medusa-kernel
  ☆19Updated last week
• 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
• ssaket / eeg-pipeline
  End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python
  ☆23Updated 3 years ago
• AutoResearch / EEG-GAN
  ☆27Updated 2 months ago
• DingWenl / CNN-FormerWithEEG-ME
  CNN-Former model with EEG-ME for SSVEP classification (TNSRE)
  ☆13Updated 11 months ago
• rmpeng / TIE-EEGNet
  Temporal information enhanced EEGNet
  ☆13Updated 2 years ago
• mcd4874 / NeurIPS_competition
  code for NeurIPS_competition
  ☆28Updated 3 years ago
• timeflux / timeflux_rasr
  Implementation of rASR filtering.
  ☆26Updated 4 years ago
• AKiessner / TUHAbnormal-Expansion-dataset
  ☆11Updated 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…
  ☆46Updated 2 years ago
• meeg-ml-benchmarks / brain-age-benchmark-paper
  M/EEG brain age benchmark paper
  ☆29Updated 2 years 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
• AlessioZanga / PyEEGLab
  Analyze and manipulate EEG data using PyEEGLab.
  ☆61Updated 4 years ago
• hubertjb / dynamic-spatial-filtering
  Code for "Robust EEG processing with dynamic spatial filtering", Banville et al. 2021
  ☆29Updated 3 years ago
• SPOClab-ca / ThinkerInvariance
  ☆18Updated 4 years ago
• SPOClab-ca / dn3
  The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.
  ☆70Updated 3 years ago
• mauriceaj / CRNNeeg-sleep
  CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG
  ☆18Updated 5 years ago
• WilliamRo / EEG-Denoise
  ☆19Updated 5 months ago
• Xiul109 / eeglib
  A library with tools for EEG analysis
  ☆67Updated last year
• 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
• ardkastrati / EEGEyeNet
  EEGEyeNet is benchmark to evaluate ET prediction based on EEG measurements with an increasing level of difficulty
  ☆45Updated 3 years ago
• gzoumpourlis / BEETL_NeurIPS_2021
  Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021
  ☆11Updated 2 years ago
• mne-tools / mne-torch
  Repository of sample scripts to train deep learning model with PyTorch and MNE
  ☆28Updated 6 years ago
• MedMaxLab / selfEEG
  selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
  ☆59Updated 2 months ago
• duanyiqun / CTNAS-EEG
  Code for Cross-Task Neural Architecture Search for EEG Signals
  ☆15Updated 2 years ago
• coffeine-labs / coffeine
  Covariance Data Frames for Predictive M/EEG Pipelines
  ☆33Updated last year
• kolcs / bionic_apps
  ☆16Updated 8 months 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…
  ☆22Updated 2 years ago