Alternatives and similar repositories for Perceptogram

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

• dongyangli-del / EEG_Image_decode
  Using vision-language models to decode natural image perception from non-invasive brain recordings.
  ☆191Updated 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.…
  ☆191Updated 6 months ago
• XiaoZhangYES / CognitionCapturer
  ☆39Updated 8 months ago
• prajwalsingh / EEGStyleGAN-ADA
  Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]
  ☆53Updated last year
• CLIP-MUSED / CLIP-MUSED
  ☆28Updated 2 years ago
• liulab-repository / Du-IN
  NeurIPS 2024 poster
  ☆33Updated last year
• ncclab-sustech / BrainFLORA
  ☆34Updated last month
• HaitaoWuTJU / Uncertainty-aware-Blur-Prior
  Uncertainty-aware Blur Prior on CVPR 2025
  ☆70Updated 2 months ago
• ncclab-sustech / EEG_Image_decode
  Using vision-language models to decode natural image perception from non-invasive brain recordings.
  ☆88Updated 3 weeks ago
• gifale95 / eeg_encoding
  Use DNNs to build encoding models of EEG visual responses.
  ☆104Updated 10 months ago
• CECNL / MAtt
  ☆71Updated 2 years ago
• XuanhaoLiu / EEG2Video
  NeurIPS 24, decoding video from EEG signals
  ☆120Updated 9 months ago
• MichaelMaiii / AIGC-Brain
  Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy
  ☆104Updated last year
• yzz673 / Brant-2
  ☆45Updated 11 months ago
• wjq-learning / CBraMod
  [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
  ☆254Updated 3 weeks ago
• DingWenl / CNN-FormerWithEEG-ME
  CNN-Former model with EEG-ME for SSVEP classification (TNSRE)
  ☆15Updated last year
• duanyiqun / Brain-Diffusion
  Exploration of diffuison-based generative model to sychronizing brain dynamics from semantic language input.
  ☆41Updated 2 years ago
• perceivelab / eeg_visual_classification
  ☆123Updated 4 years ago
• weihaox / UMBRAE
  [ECCV 2024] UMBRAE: Unified Multimodal Brain Decoding | Unveiling the 'Dark Side' of Brain Modality
  ☆60Updated last month
• ycq091044 / BIOT
  BIOT - A framework for pretraining biosignals at scale. Large EEG pre-trained models.
  ☆178Updated 2 years ago
• ruiqiRichard / EEGViT
  ☆32Updated 2 years ago
• zjunet / Brant-X
  ☆27Updated last year
• MAILAB-korea / META-EEG
  META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces
  ☆24Updated last year
• 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
  ☆13Updated 6 years ago
• eeyhsong / NICE-LLM
  [tnnls 2025] Language-guided contrastive learning for M/EEG-based image recognition.
  ☆32Updated last year
• Promise-Z5Q2SQ / EEG-ImageNet-Dataset
  ☆61Updated 8 months ago
• eeyhsong / Adaptor
  Global Adaptive Transformer for Cross-Subject EEG Classification.
  ☆31Updated 2 years ago
• ChiShengChen / MUSE_EEG
  The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.
  ☆43Updated 9 months ago
• 935963004 / NeuroLM
  [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
  ☆126Updated 4 months ago
• leeh2213 / MB2C
  The code repository for "MB2C: Multimodal Bidirectional Cycle Consistency for Learning Robust Visual Neural Representations" in PyTorch
  ☆22Updated last year