SPOClab-ca / dn3Links
The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.
☆70Updated 3 years ago
Alternatives and similar repositories for dn3
Users that are interested in dn3 are comparing it to the libraries listed below
Sorting:
- ☆27Updated 2 months ago
- ☆18Updated 4 years ago
- ☆193Updated 3 years ago
- seizure type classification using TUH dataset☆75Updated last year
- Analyze and manipulate EEG data using PyEEGLab.☆61Updated 4 years ago
- ECoG/EEG neural network decoder that can generalize to unseen participants and recording modalities. Replicates our published results: ht…☆30Updated 4 years ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆59Updated 2 months ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆66Updated 5 years ago
- Hands-on tutorial on deep learning for EEG classification.☆81Updated last year
- PyPREP: A Python implementation of the Preprocessing Pipeline (PREP) for EEG data☆157Updated last week
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆73Updated last year
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆70Updated last year
- EEGEyeNet is benchmark to evaluate ET prediction based on EEG measurements with an increasing level of difficulty☆45Updated 3 years ago
- ☆66Updated 2 years ago
- ☆22Updated 2 years ago
- A library with tools for EEG analysis☆67Updated last year
- code for NeurIPS_competition☆28Updated 3 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆58Updated 2 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆150Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- This is the NeurIPS BEETL repository (https://beetl.ai)☆35Updated 2 years ago
- [ICLR 2023] Code for BrainBERT☆60Updated 7 months ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆204Updated 2 years ago
- Deep learning model for EEG artifact removal☆76Updated 3 years ago
- Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.☆45Updated 2 months ago
- ☆74Updated 2 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆64Updated last year
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆144Updated last year
- ☆36Updated 7 years ago
- Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…☆25Updated 2 years ago