Alternatives and similar repositories for zuco-benchmark

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

• liulab-repository / Du-IN
  NeurIPS 2024 poster
  ☆31Updated last year
• MikeWangWZHL / EEG-To-Text
  code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
  ☆215Updated last year
• ncclab-sustech / BrainFLORA
  ☆31Updated 2 weeks ago
• NeuSpeech / MAD-MEG2text
  ☆23Updated last year
• ncclabsustech / Chinese_reading_task_eeg_processing
  ☆71Updated last year
• hamzaamrani / EEG-to-Text-Decoding
  ☆27Updated last year
• BINE022 / EEGPT
  Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…
  ☆256Updated 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.…
  ☆188Updated 5 months ago
• NeuSpeech / EEG-To-Text
  ☆162Updated 5 months ago
• ycq091044 / BIOT
  NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.
  ☆177Updated 2 years ago
• yzz673 / Brant-2
  ☆46Updated 10 months ago
• youngeun1209 / NeuroTalk
  ☆53Updated last year
• 935963004 / NeuroLM
  [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
  ☆118Updated 3 months ago
• ncclabsustech / DeepSeparator
  Deep learning model for EEG artifact removal
  ☆79Updated 3 years ago
• ncclabsustech / EEGdenoiseNet
  EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…
  ☆226Updated 2 years ago
• methlabUZH / automagic
  Automagic
  ☆108Updated 6 months ago
• wjq-learning / CBraMod
  [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
  ☆238Updated this week
• NeuSpeech / awesome-brain-decoding
  collection of awesome research in brain decoding, including interaction with multi-modalities, theories, and foundation models.
  ☆97Updated 6 months ago
• NeuSpeech / NeuSpeech1
  Decode Neural signal as Speech
  ☆37Updated last year
• ncclab-sustech / EEG_Image_decode
  Using vision-language models to decode natural image perception from non-invasive brain recordings.
  ☆85Updated 2 weeks ago
• Xemin0 / ReadingEmbedding
  Implementation of "From Word Embedding to Reading Embedding Using Large Language Model, EEG and Eye-tracking"
  ☆46Updated 10 months ago
• 935963004 / LaBraM
  [ICLR 2024 spotlight] Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
  ☆518Updated 3 months ago
• gifale95 / eeg_encoding
  Use DNNs to build encoding models of EEG visual responses.
  ☆102Updated 9 months ago
• hubandad / eeg-dataset
  Public EEG Dataset
  ☆69Updated 2 years ago
• kekehia123 / cl_sster
  Contrastive Learning of Shared SpatioTemporal EEG Representations across individuals
  ☆23Updated last year
• dongyangli-del / EEG_Image_decode
  Using vision-language models to decode natural image perception from non-invasive brain recordings.
  ☆179Updated 2 weeks ago
• czlwang / BrainBERT
  [ICLR 2023] Code for BrainBERT
  ☆70Updated 2 months ago
• zhangzihan-is-good / Chisco
  We constructed an EEG dataset based on imagined speech and performed semantic decoding on it.
  ☆32Updated last year
• ThreePoundUniverse / TSMMF-ESWA
  This is the official implementation of ESWA - A bidirectional cross-modal transformer representation learning model for EEG-fNIRS multimo…
  ☆25Updated 10 months ago
• fwillett / speechBCI
  Code for the paper "A high-performance speech neuroprosthesis"
  ☆190Updated 7 months ago