Alternatives and similar repositories for MUSE_EEG:

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

• prajwalsingh / EEGStyleGAN-ADA
  Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]
  ☆36Updated 11 months ago
• desa-lab / Perceptogram
  Image reconstruction from visual evoked potentials using latent diffusion
  ☆28Updated this week
• eeyhsong / Adaptor
  Global Adaptive Transformer for Cross-Subject EEG Classification.
  ☆25Updated last year
• 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.…
  ☆128Updated 2 months ago
• BINE022 / EEGPT
  Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…
  ☆81Updated 4 months ago
• XuanhaoLiu / EEG2Video
  NeurIPS 24, decoding video from EEG signals
  ☆56Updated last month
• duanyiqun / Brain-Diffusion
  Exploration of diffuison-based generative model to sychronizing brain dynamics from semantic language input.
  ☆36Updated last year
• yzz673 / Brant-2
  ☆30Updated this week
• Promise-Z5Q2SQ / EEG-ImageNet-Dataset
  ☆39Updated 4 months ago
• MedMaxLab / selfEEG
  selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
  ☆49Updated last week
• ycq091044 / BIOT
  NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.
  ☆105Updated last year
• AutoResearch / EEG-GAN
  ☆24Updated last month
• willxxy / awesome-mmps
  Corpus of resources for multimodal machine learning with physiological signals (mmps).
  ☆58Updated this week
• DevJake / EEG-diffusion-pytorch
  An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.
  ☆43Updated last year
• XueJiang16 / ssl-torch
  ☆36Updated 4 years ago
• CECNL / MAtt
  ☆58Updated last year
• ncclab-sustech / EEG_Image_decode
  Using vision-language models to decode natural image perception from non-invasive brain recordings.
  ☆34Updated 3 months ago
• prajwalsingh / EEG2Image
  EEG2IMAGE: Image Reconstruction from EEG Brain Signals. [ICASSP 2023]
  ☆77Updated 10 months ago
• MAILAB-korea / META-EEG
  META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces
  ☆15Updated 7 months ago
• weihaox / UMBRAE
  [ECCV 2024] UMBRAE: Unified Multimodal Brain Decoding | Unveiling the 'Dark Side' of Brain Modality
  ☆43Updated 6 months ago
• MichaelMaiii / AIGC-Brain
  Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy
  ☆77Updated 2 months ago
• dongyangli-del / EEG_Image_decode
  Using vision-language models to decode natural image perception from non-invasive brain recordings.
  ☆111Updated 3 weeks ago
• duanyiqun / DS-DDPM
  Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals
  ☆51Updated last year
• zjunet / Brant-X
  ☆16Updated 7 months ago
• MiaoZhengQing / WeightFreezing
  ☆13Updated last year
• CLIP-MUSED / CLIP-MUSED
  ☆26Updated last year
• liulab-repository / Du-IN
  NeurIPS 2024 poster
  ☆22Updated 2 months ago
• yi-ding-cs / EEG-Deformer
  [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…
  ☆56Updated 3 months ago
• gifale95 / eeg_encoding
  Use DNNs to build encoding models of EEG visual responses.
  ☆75Updated 5 months ago