DWonGH / tueg-toolsLinks
Tools for working with the Temple University Hospital EEG Corpus
☆16Updated 4 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:
- The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.☆71Updated 3 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆66Updated 5 years ago
- Hands-on tutorial on deep learning for EEG classification.☆83Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆47Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆103Updated 6 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆70Updated last year
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆154Updated last year
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆112Updated 2 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- Analyze and manipulate EEG data using PyEEGLab.☆62Updated 4 years ago
- implementation of FBCSP algorithm☆26Updated 6 years ago
- A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets☆171Updated 4 years ago
- seizure type classification using TUH dataset☆76Updated 3 weeks ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆180Updated 3 years ago
- ☆196Updated 3 years ago
- ☆131Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆67Updated 5 months ago
- Supplementary material for systematic literature review on deep learning and EEG.☆158Updated 5 years ago
- EEG physics models and adversarily trained RNNs for improved signal processing, data augmentation, and manifold generation.☆14Updated 5 years ago
- ☆175Updated 2 years ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆61Updated 3 months ago
- Official Repository of 'A Deep Neural Network for SSVEP-Based Brain-Computer Interfaces'☆77Updated 2 years ago
- Generate statistical features from Electroencephalographic data☆94Updated 3 years ago
- ☆66Updated 2 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆73Updated last year
- code for NeurIPS_competition☆28Updated 3 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆22Updated 2 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆95Updated 4 months ago
- EEG motor imagery classification using convolutional neural networks☆39Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆139Updated last year