XiaoxiWei / NeurIPS_BEETL
This is the NeurIPS BEETL repository (https://beetl.ai)
☆35Updated last year
Related projects ⓘ
Alternatives and complementary repositories for NeurIPS_BEETL
- Code helper for BEETL competition☆11Updated 3 years ago
- The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.☆65Updated 2 years ago
- ☆18Updated 4 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated last year
- code for NeurIPS_competition☆27Updated 2 years ago
- M/EEG brain age benchmark paper☆24Updated last year
- EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your M…☆38Updated 6 months ago
- Repository of sample scripts to train deep learning model with PyTorch and MNE☆25Updated 5 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆39Updated 2 years ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆41Updated 3 weeks ago
- Python code for the Riemannian Procrustes Analysis (RPA) method☆47Updated 9 months ago
- ☆35Updated last month
- Moved to https://github.com/TNTLFreiburg/braindecode!☆59Updated 4 years ago
- Analyze and manipulate EEG data using PyEEGLab.☆60Updated 3 years ago
- ☆54Updated last year
- Use DNNs to build encoding models of EEG visual responses.☆70Updated last month
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆66Updated 4 months ago
- Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.☆40Updated 3 months ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆43Updated last year
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆81Updated 10 months ago
- Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One …☆87Updated last year
- ☆35Updated 6 years ago
- Python implementation of FASTER method for EEG artifact rejection☆21Updated 9 years ago
- A Matlab Toolbox for correcting EEG artifacts using Riemannian Artifact Subspace Reconstruction.☆28Updated 4 years ago
- This project contains the code for a deep learning architecture to analyze EEG data.☆37Updated 3 months ago
- seizure type classification using TUH dataset☆64Updated last year
- ECoG/EEG neural network decoder that can generalize to unseen participants and recording modalities. Replicates our published results: ht…☆28Updated 3 years ago
- Self-supervised learning for EEG☆23Updated 4 years ago
- ☆20Updated last year
- Covariance Data Frames for Predictive M/EEG Pipelines☆33Updated 8 months ago