Alternatives and similar repositories for beetl-competition

Users that are interested in beetl-competition are comparing it to the libraries listed below

• XiaoxiWei / NeurIPS_BEETL
  This is the NeurIPS BEETL repository (https://beetl.ai)
  ☆35Updated 2 years ago
• ogrisel / eegssl
  Experiments on Self-Supervised Learning on EEG data
  ☆19Updated 5 years ago
• maschulz / deeperbrain
  ☆16Updated 4 years ago
• meeg-ml-benchmarks / brain-age-benchmark-paper
  M/EEG brain age benchmark paper
  ☆28Updated 2 years ago
• AKiessner / TUHAbnormal-Expansion-dataset
  ☆11Updated last year
• KrishnaswamyLab / TPHATE
  ☆25Updated 4 months ago
• aparek / mcsleep
  Multichannel Sleep Spindle Detector for sleep EEG
  ☆12Updated 5 years ago
• mne-tools / mne-torch
  Repository of sample scripts to train deep learning model with PyTorch and MNE
  ☆28Updated 6 years ago
• hubertjb / dynamic-spatial-filtering
  Code for "Robust EEG processing with dynamic spatial filtering", Banville et al. 2021
  ☆29Updated 3 years ago
• arthurmensch / cogspaces
  Multi-study decoding models for task functional MRI data.
  ☆35Updated 4 years ago
• cjspoerer / rcnn-sat
  Recurrent convolutional neural networks for object recognition
  ☆18Updated 4 years ago
• sylvchev / riemannianPCA
  Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation
  ☆12Updated 2 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆21Updated last year
• ricsinaruto / MEG-group-decode
  Train Wavenet-based group-level models on MEG data, and uncover neuroscientifically interpretable information.
  ☆14Updated last year
• SPOClab-ca / ThinkerInvariance
  ☆18Updated 4 years ago
• coffeine-labs / coffeine
  Covariance Data Frames for Predictive M/EEG Pipelines
  ☆33Updated last year
• ngohgia / brain-surf-cnn
  BrainSurfCNN for individualized prediction of task contrasts from resting-state functional connectivity
  ☆28Updated 3 years ago
• nerdslab / SwapVAE
  PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity
  ☆13Updated 3 years ago
• Mind-the-Pineapple / into-the-multiverse
  Code for the paper: "Neuroimaging: Into the Multiverse"
  ☆14Updated 3 years ago
• zhangyu2ustc / gcn_tutorial_test
  ☆26Updated last year
• gzoumpourlis / BEETL_NeurIPS_2021
  Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021
  ☆11Updated 2 years ago
• mabhijithn / irregulars-neureka-codebase
  Scripts, packages and info supporting the Neureka Challenge 2020 submission by the team Biomed Irregulars.
  ☆12Updated 2 years ago
• batmanlab / BayesComBat
  Harmonization of brain imaging features using bayesian inference
  ☆18Updated last year
• kesslerr / m4d
  How EEG preprocessing shapes decoding performance
  ☆14Updated last month
• kisungyou / papers
  resources related to papers
  ☆13Updated 11 months ago
• Parietal-INRIA / DiFuMo
  Dictionary of Functional Modes for brain imaging
  ☆24Updated 4 years ago
• sina-mansour / neural-identity
  ☆17Updated last year
• vpKumaravel / NEAR
  NEAR - Neonatal EEG Artifact Removal, an automated pipeline for pre-processing.
  ☆12Updated 3 weeks ago
• nerdslab / EIT
  PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…
  ☆14Updated 2 years ago
• timeflux / timeflux_rasr
  Implementation of rASR filtering.
  ☆26Updated 4 years ago