DWonGH / tueg-toolsLinks
Tools for working with the Temple University Hospital EEG Corpus
☆17Updated 5 years ago
Alternatives and similar repositories for tueg-tools
Users that are interested in tueg-tools are comparing it to the libraries listed below
Sorting:
- IEEE Transactions on Emerging Topics in Computational Intelligence☆70Updated 7 months ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆48Updated 3 years ago
- ☆68Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.☆73Updated 3 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆159Updated 2 years ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆115Updated 2 years ago
- code for NeurIPS_competition☆28Updated 3 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆67Updated 5 years ago
- NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding☆13Updated 3 years ago
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆71Updated last year
- implementation of FBCSP algorithm☆26Updated 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
- ☆177Updated 3 years ago
- ☆39Updated 4 years ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆50Updated 2 years ago
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆26Updated 3 years ago
- Analysis of Transformer attention in EEG signal classification☆46Updated last year
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆17Updated last year
- ☆18Updated 5 years ago
- ☆13Updated last year
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 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
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆68Updated 5 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆73Updated last month
- seizure type classification using TUH dataset☆79Updated 2 months ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆44Updated 2 years ago
- Self-supervised learning for EEG☆27Updated 5 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 4 months ago