lu-wo / DETRtime
DETRtime, a framework for time-series segmentation
☆19Updated last year
Alternatives and similar repositories for DETRtime:
Users that are interested in DETRtime are comparing it to the libraries listed below
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 5 months ago
- ☆12Updated 2 years ago
- ☆12Updated last year
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆28Updated 3 years ago
- ☆13Updated last year
- This is a community implementation of EEG-ConvTransformer☆18Updated last year
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 8 months ago
- A Residual based Attention Model for EEG basedSleep Staging☆12Updated 3 years ago
- Official code on "Visual-to-EEG cross-modal knowledge distillation for continuous emotion recognition", Pattern Recognition 2022.☆13Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆66Updated 2 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆51Updated 3 years ago
- ☆16Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆98Updated last year
- ☆70Updated 3 months ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆17Updated 3 years ago
- Classification of EEG signals into silence vs listening☆20Updated 2 years ago
- Official implementation of "A Knowledge Distillation Framework for Enhancing Ear-EEG based Sleep Staging with Scalp-EEG Data"☆12Updated 2 years ago
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆18Updated 4 years ago
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆24Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆61Updated 2 months ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆49Updated last week
- ☆24Updated last month
- code for LMDA☆71Updated last year
- Deep learning model for EEG artifact removal☆66Updated 2 years ago
- ☆28Updated 7 months ago
- Matlab code for SBLEST algorithm☆40Updated 11 months ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆36Updated last year
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆38Updated 3 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆99Updated last year
- Analysis of Transformer attention in EEG signal classification☆42Updated 6 months ago