yorgoon / DiffELinks
☆27Updated 11 months ago
Alternatives and similar repositories for DiffE
Users that are interested in DiffE are comparing it to the libraries listed below
Sorting:
- ☆53Updated 11 months ago
- Toward Fully-End-to-End Listened Speech Decoding from EEG Signals (Interspeech 2024)☆24Updated 7 months ago
- Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals☆56Updated last year
- ☆22Updated 9 months ago
- Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification☆22Updated 2 years ago
- Code to implement the model of No.2 in Task 1 of the Auditory EEG Challenge (ICASSP 2024)☆14Updated last year
- Conditional EEG diffusion model☆15Updated last year
- Decode Neural signal as Speech☆36Updated 10 months ago
- ☆30Updated last year
- ☆41Updated 6 months ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆153Updated 2 weeks ago
- Exploration of diffuison-based generative model to sychronizing brain dynamics from semantic language input.☆39Updated last year
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆46Updated 2 years ago
- Decoding of the speech envelope from EEG using the VLAAI deep neural network☆15Updated 2 years ago
- Contrastive Learning of Shared SpatioTemporal EEG Representations across individuals☆23Updated last year
- [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals☆75Updated 3 months ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆144Updated last year
- ☆10Updated 10 months ago
- collection of awesome research in brain decoding, including interaction with multi-modalities, theories, and foundation models.☆79Updated 2 months ago
- ☆22Updated last year
- the implementation of the ASAD_DenseNet☆29Updated 5 months ago
- NeurIPS 2024 poster☆26Updated 8 months ago
- [ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii.…☆160Updated last month
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆20Updated last year
- ☆66Updated 2 years ago
- ☆19Updated this week
- KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs☆68Updated 6 months ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆59Updated 2 months ago
- ☆12Updated 2 years ago
- SOTA methods for performing emotion classification using Transformers.☆21Updated 2 years ago