Alternatives and similar repositories for EEGDash

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

• Baizhige / EEGUnity
  An open source tool for large-scale EEG datasets processing
  ☆53Updated 4 months ago
• MedMaxLab / selfEEG
  selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
  ☆70Updated 7 months ago
• czlwang / BrainBERT
  [ICLR 2023] Code for BrainBERT
  ☆71Updated 2 months ago
• yzz673 / Brant-2
  ☆46Updated 11 months ago
• CECNL / MAtt
  ☆71Updated 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…
  ☆62Updated 3 years ago
• meeg-ml-benchmarks / brain-age-benchmark-paper
  M/EEG brain age benchmark paper
  ☆29Updated 2 years ago
• gmentz / seegnificant
  Codebase for publication "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" @ NeurIPS (2024)
  ☆18Updated 7 months ago
• kekehia123 / cl_sster
  Contrastive Learning of Shared SpatioTemporal EEG Representations across individuals
  ☆23Updated last year
• athms / learning-from-brains
  Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One …
  ☆109Updated 2 years ago
• ycq091044 / BIOT
  BIOT - A framework for pretraining biosignals at scale. Large EEG pre-trained models.
  ☆177Updated 2 years ago
• ruiqiRichard / EEGViT
  ☆32Updated 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…
  ☆23Updated 2 years ago
• EEGdecoding / Code-SBLEST
  Matlab code for SBLEST algorithm
  ☆44Updated last year
• timonkl / PatchedBrainTransformer
  ☆17Updated 10 months ago
• NathanKlineInstitute / NATVIEW_EEGFMRI
  Code for preprocessing data for the Naturalistic viewing EEG FMRI data release from NKI
  ☆51Updated 6 months ago
• SPOClab-ca / dn3
  The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.
  ☆75Updated 3 years ago
• wenhui0206 / NeuroGPT
  Code for the paper "Neuro-GPT: Towards a Foundation Model for EEG"
  ☆206Updated last year
• gifale95 / eeg_encoding
  Use DNNs to build encoding models of EEG visual responses.
  ☆103Updated 10 months ago
• gjoelbye / SPEED
  ☆18Updated last month
• ycq091044 / ContraWR
  JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
  ☆54Updated 2 years ago
• AutoResearch / EEG-GAN
  ☆30Updated 7 months ago
• BruntonUWBio / HTNet_generalized_decoding
  ECoG/EEG neural network decoder that can generalize to unseen participants and recording modalities. Replicates our published results: ht…
  ☆30Updated 4 years ago
• chenxiachan / EEGNeX
  About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX
  ☆70Updated 2 years ago
• XueJiang16 / ssl-torch
  ☆38Updated 4 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…
  ☆49Updated 3 years ago
• OpenTSLab / BrainOmni
  [NeurIPS 2025] BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
  ☆51Updated last month
• 935963004 / NeuroLM
  [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
  ☆122Updated 4 months ago
• mlberkeley / eeg-ssl
  Self-supervised learning for EEG
  ☆28Updated 5 years ago
• ncclabsustech / DeepSeparator
  Deep learning model for EEG artifact removal
  ☆81Updated 3 years ago