SPOClab-ca / dn3
The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.
☆64Updated 2 years ago
Related projects: ⓘ
- Moved to https://github.com/TNTLFreiburg/braindecode!☆58Updated 4 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆38Updated last year
- ☆18Updated 4 years ago
- ☆54Updated last year
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆35Updated 2 months ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆62Updated 2 months ago
- ☆169Updated 2 years ago
- code for NeurIPS_competition☆26Updated 2 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆57Updated last month
- seizure type classification using TUH dataset☆62Updated 10 months ago
- ☆19Updated last month
- This is the NeurIPS BEETL repository (https://beetl.ai)☆35Updated last year
- Deep learning model for EEG artifact removal☆56Updated 2 years ago
- Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.☆40Updated 2 months ago
- ☆35Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆55Updated 5 months ago
- A library with tools for EEG analysis☆59Updated 3 months ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆75Updated 9 months ago
- Deep Learning pipeline for motor-imagery classification.☆54Updated 2 years ago
- Hands-on tutorial on deep learning for EEG classification.☆63Updated 4 months ago
- Analyze and manipulate EEG data using PyEEGLab.☆59Updated 3 years ago
- ECoG/EEG neural network decoder that can generalize to unseen participants and recording modalities. Replicates our published results: ht…☆27Updated 3 years ago
- EEGEyeNet is benchmark to evaluate ET prediction based on EEG measurements with an increasing level of difficulty☆38Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆99Updated 5 years ago
- Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"☆71Updated last year
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆45Updated last year
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆42Updated last year
- Repository of sample scripts to train deep learning model with PyTorch and MNE☆24Updated 5 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆20Updated last year
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆129Updated 10 months ago