Alternatives and similar repositories for LLMs-in-EEG-Decoding

Users that are interested in LLMs-in-EEG-Decoding are comparing it to the libraries listed below

• MAILAB-korea / META-EEG
  META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces
  ☆24Updated last year
• sylyoung / MetaEEG
  ☆13Updated last year
• zjunet / Brant-X
  ☆26Updated last year
• mlberkeley / eeg-ssl
  Self-supervised learning for EEG
  ☆27Updated 5 years ago
• 935963004 / MAET
  [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels
  ☆57Updated last month
• eeyhsong / Adaptor
  Global Adaptive Transformer for Cross-Subject EEG Classification.
  ☆29Updated last year
• 935963004 / NeuroLM
  [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
  ☆104Updated 2 months ago
• XueJiang16 / ssl-torch
  ☆39Updated 4 years ago
• yzz673 / Brant
  Pre-trained Transformer on Brain Signals
  ☆33Updated 6 months ago
• 1061413241 / MEET
  The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"
  ☆17Updated 3 years ago
• CECNL / MAtt
  ☆68Updated 2 years ago
• ycq091044 / BIOT
  NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.
  ☆167Updated last year
• yzz673 / Brant-2
  ☆44Updated 8 months ago
• DevJake / EEG-diffusion-pytorch
  An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.
  ☆47Updated 2 years ago
• EEGdecoding / Code-SBLEST
  Matlab code for SBLEST algorithm
  ☆44Updated last year
• sylyoung / DeepTransferEEG
  ☆40Updated last month
• ruiqiRichard / EEGViT
  ☆32Updated last year
• ThreePoundUniverse / MACTN
  ☆18Updated 2 years ago
• wjq-learning / CBraMod
  [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
  ☆206Updated last week
• Baizhige / EEGUnity
  An open source tool for large-scale EEG datasets processing
  ☆52Updated 2 months ago
• CLIP-MUSED / CLIP-MUSED
  ☆27Updated 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
• SCUT-IEL / STAnet
  This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…
  ☆14Updated 2 years ago
• prajwalsingh / EEGStyleGAN-ADA
  Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]
  ☆51Updated last year
• KAZABANA / EEGMatch
  ☆41Updated last year
• Navidfoumani / EEG2Rep
  KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
  ☆77Updated last month
• eeyhsong / NICE-EEG
  [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…
  ☆178Updated 4 months ago
• MedMaxLab / selfEEG
  selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
  ☆68Updated 5 months ago
• Want2Vanish / FBMSNet
  This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.
  ☆41Updated 2 years ago
• desa-lab / Perceptogram
  Reconstructing Visual Percepts from EEG
  ☆36Updated 6 months ago