gjoelbye / SPEEDLinks
☆14Updated 11 months ago
Alternatives and similar repositories for SPEED
Users that are interested in SPEED are comparing it to the libraries listed below
Sorting:
- ☆11Updated 5 months ago
- PyTorch implementation for the paper "The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG…☆11Updated 4 months ago
- code for NeurIPS_competition☆28Updated 3 years ago
- ☆66Updated 2 years ago
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆13Updated last year
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆48Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆63Updated 7 months ago
- ☆13Updated last year
- ☆22Updated last year
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆61Updated 3 months ago
- CAUEEG: Chung-Ang University Hospital EEG dataset for automatic EEG diagnosis research☆21Updated 2 years ago
- Conditional EEG diffusion model☆15Updated last year
- Towards Domain Free Transformer for Generalized EEG Pre-training☆27Updated 4 months ago
- How EEG preprocessing shapes decoding performance☆14Updated 2 months ago
- KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs☆70Updated 7 months ago
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- Repository of EEG-Simpleconv original paper☆42Updated 3 weeks ago
- ☆38Updated 4 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆22Updated last year
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆22Updated 2 years ago
- ☆42Updated 6 months ago
- Deep Learning with EEG.☆21Updated 9 months ago
- An open source tool for large-scale EEG datasets processing☆49Updated 3 months ago
- ☆28Updated 2 months ago
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆12Updated 6 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆22Updated 2 years ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆168Updated last month
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆145Updated last year
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆16Updated 3 years ago