Alternatives and similar repositories for Brain-Diffusion

Users that are interested in Brain-Diffusion are comparing it to the libraries listed below

• CLIP-MUSED / CLIP-MUSED
  ☆27Updated last year
• liulab-repository / Du-IN
  NeurIPS 2024 poster
  ☆26Updated 7 months ago
• gifale95 / eeg_encoding
  Use DNNs to build encoding models of EEG visual responses.
  ☆88Updated 4 months ago
• prajwalsingh / EEGStyleGAN-ADA
  Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]
  ☆44Updated last year
• zjunet / Brant-X
  ☆22Updated 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.…
  ☆162Updated 3 weeks ago
• MikeWangWZHL / EEG-To-Text
  code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
  ☆199Updated last year
• perceivelab / eeg_visual_classification
  ☆106Updated 4 years ago
• 935963004 / NeuroLM
  [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
  ☆68Updated 3 months ago
• eeyhsong / NICE-LLM
  [tnnls 2025] Language-guided contrastive learning for M/EEG-based image recognition.
  ☆21Updated 8 months ago
• DevJake / EEG-diffusion-pytorch
  An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.
  ☆46Updated 2 years ago
• kekehia123 / cl_sster
  Contrastive Learning of Shared SpatioTemporal EEG Representations across individuals
  ☆22Updated last year
• CECNL / MAtt
  ☆66Updated last year
• hanzopgp / BrainDataAugmentation
  Brain EEG signal data augmentation using synthetic signals generated by a single step diffusion probabilistic model.
  ☆19Updated 2 years ago
• desa-lab / Perceptogram
  Reconstructing Visual Percepts from EEG
  ☆33Updated 2 months ago
• ncclabsustech / Chinese_reading_task_eeg_processing
  ☆64Updated last year
• duanyiqun / DS-DDPM
  Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals
  ☆56Updated last year
• ChiShengChen / MUSE_EEG
  The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.
  ☆36Updated 3 months ago
• dongyangli-del / EEG_Image_decode
  Using vision-language models to decode natural image perception from non-invasive brain recordings.
  ☆150Updated last month
• NeuSpeech / awesome-brain-decoding
  collection of awesome research in brain decoding, including interaction with multi-modalities, theories, and foundation models.
  ☆77Updated last month
• DingWenl / CNN-FormerWithEEG-ME
  CNN-Former model with EEG-ME for SSVEP classification (TNSRE)
  ☆13Updated 11 months ago
• yzz673 / Brant-2
  ☆38Updated 5 months ago
• dberma02 / GAN_for_Synthetic_EEG_Data
  Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks
  ☆12Updated 5 years ago
• AutoResearch / EEG-GAN
  ☆26Updated last month
• prajwalsingh / EEG2Image
  EEG2IMAGE: Image Reconstruction from EEG Brain Signals. [ICASSP 2023]
  ☆88Updated 4 months ago
• duanyiqun / CTNAS-EEG
  Code for Cross-Task Neural Architecture Search for EEG Signals
  ☆15Updated 2 years ago
• ruiqiRichard / EEGViT
  ☆34Updated last year
• czlwang / BrainBERT
  [ICLR 2023] Code for BrainBERT
  ☆60Updated 6 months ago
• ncclab-sustech / CoCoG
  ☆10Updated 9 months ago
• MichaelMaiii / AIGC-Brain
  Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy
  ☆94Updated 7 months ago