Alternatives and similar repositories for Brain-Diffusion:

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

• liulab-repository / Du-IN
  NeurIPS 2024 poster
  ☆25Updated 4 months ago
• CLIP-MUSED / CLIP-MUSED
  ☆26Updated last year
• gifale95 / eeg_encoding
  Use DNNs to build encoding models of EEG visual responses.
  ☆80Updated last month
• yzz673 / Brant-2
  ☆34Updated 2 months ago
• prajwalsingh / EEGStyleGAN-ADA
  Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]
  ☆41Updated last year
• ChiShengChen / MUSE_EEG
  The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.
  ☆31Updated 3 weeks ago
• duanyiqun / DS-DDPM
  Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals
  ☆55Updated 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.…
  ☆144Updated 4 months ago
• DevJake / EEG-diffusion-pytorch
  An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.
  ☆45Updated 2 years ago
• XuanhaoLiu / EEG2Video
  NeurIPS 24, decoding video from EEG signals
  ☆72Updated last week
• ncclab-sustech / EEG_Image_decode
  Using vision-language models to decode natural image perception from non-invasive brain recordings.
  ☆46Updated 5 months ago
• hanzopgp / BrainDataAugmentation
  Brain EEG signal data augmentation using synthetic signals generated by a single step diffusion probabilistic model.
  ☆18Updated 2 years ago
• MichaelMaiii / AIGC-Brain
  Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy
  ☆87Updated 5 months ago
• NeuSpeech / MAD-MEG2text
  ☆20Updated 5 months ago
• perceivelab / eeg_visual_classification
  ☆101Updated 4 years ago
• MischaRauch / Stable_Diffusion_on_EEG_Signals
  Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification
  ☆20Updated last year
• zjunet / Brant-X
  ☆20Updated 9 months ago
• ncclabsustech / Chinese_reading_task_eeg_processing
  ☆62Updated last year
• NeuSpeech / NeuSpeech1
  Decode Neural signal as Speech
  ☆34Updated 7 months ago
• ReedOnePeck / MindAnimator
  ☆27Updated last month
• ZitongLu1996 / EEG2EEG
  [CogSci 23'] Generate your neural signals from mine: individual-to-individual EEG converters
  ☆27Updated 2 years ago
• 935963004 / NeuroLM
  [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
  ☆46Updated 3 weeks ago
• arkanivasarkar / EEG-Data-Augmentation-using-Variational-Autoencoder
  Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
  ☆43Updated 5 months ago
• ruiqiRichard / EEGViT
  ☆35Updated last year
• NeuSpeech / awesome-brain-decoding
  collection of awesome research in brain decoding, including interaction with multi-modalities, theories, and foundation models.
  ☆64Updated 4 months ago
• desa-lab / Perceptogram
  Reconstructing Visual Percepts from EEG
  ☆30Updated last week
• CECNL / MAtt
  ☆60Updated last year
• wjq-learning / CBraMod
  [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
  ☆89Updated 2 months ago
• czlwang / BrainBERT
  [ICLR 2023] Code for BrainBERT
  ☆52Updated 3 months ago
• XiaoZhangYES / CognitionCapturer
  ☆16Updated 3 weeks ago