Alternatives and similar repositories for zuco-benchmark

Users that are interested in zuco-benchmark are comparing it to the libraries listed below

• ncclabsustech / Chinese_reading_task_eeg_processing
  ☆69Updated last year
• NeuSpeech / MAD-MEG2text
  ☆23Updated last year
• MikeWangWZHL / EEG-To-Text
  code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
  ☆210Updated last year
• NeuSpeech / awesome-brain-decoding
  collection of awesome research in brain decoding, including interaction with multi-modalities, theories, and foundation models.
  ☆95Updated 6 months ago
• BINE022 / EEGPT
  Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…
  ☆234Updated last year
• wjq-learning / CBraMod
  [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
  ☆219Updated last month
• 935963004 / NeuroLM
  [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
  ☆114Updated 2 months ago
• 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.…
  ☆182Updated 4 months ago
• youngeun1209 / NeuroTalk
  ☆54Updated last year
• hamzaamrani / EEG-to-Text-Decoding
  ☆27Updated last year
• liulab-repository / Du-IN
  NeurIPS 2024 poster
  ☆27Updated 11 months ago
• NeuSpeech / NeuSpeech1
  Decode Neural signal as Speech
  ☆37Updated last year
• ncclabsustech / EEGdenoiseNet
  EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…
  ☆224Updated 2 years ago
• ncclab-sustech / BrainFLORA
  ☆28Updated 3 months ago
• yzz673 / Brant-2
  ☆44Updated 9 months ago
• NeuSpeech / EEG-To-Text
  ☆159Updated 4 months ago
• ncclabsustech / DeepSeparator
  Deep learning model for EEG artifact removal
  ☆79Updated 3 years ago
• ycq091044 / BIOT
  NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.
  ☆171Updated 2 years ago
• 935963004 / LaBraM
  [ICLR 2024 spotlight] Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
  ☆494Updated 2 months ago
• jordan-bird / eeg-feature-generation
  Generate statistical features from Electroencephalographic data
  ☆95Updated 3 years ago
• High-East / BCI-ToolBox
  Deep Learning pipeline for motor-imagery classification.
  ☆62Updated 3 years ago
• methlabUZH / automagic
  Automagic
  ☆106Updated 5 months ago
• ncclab-sustech / EEG_Image_decode
  Using vision-language models to decode natural image perception from non-invasive brain recordings.
  ☆81Updated 5 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…
  ☆98Updated 5 months ago
• czlwang / BrainBERT
  [ICLR 2023] Code for BrainBERT
  ☆69Updated last month
• hubertjb / dl-eeg-tutorial
  Hands-on tutorial on deep learning for EEG classification.
  ☆86Updated last year
• Xemin0 / ReadingEmbedding
  Implementation of "From Word Embedding to Reading Embedding Using Large Language Model, EEG and Eye-tracking"
  ☆46Updated 9 months ago
• gifale95 / eeg_encoding
  Use DNNs to build encoding models of EEG visual responses.
  ☆98Updated 9 months ago
• ThreePoundUniverse / TSMMF-ESWA
  This is the official implementation of ESWA - A bidirectional cross-modal transformer representation learning model for EEG-fNIRS multimo…
  ☆24Updated 9 months ago
• kekehia123 / cl_sster
  Contrastive Learning of Shared SpatioTemporal EEG Representations across individuals
  ☆23Updated last year