lu-wo / DETRtimeLinks
DETRtime, a framework for time-series segmentation
☆20Updated 2 years ago
Alternatives and similar repositories for DETRtime
Users that are interested in DETRtime are comparing it to the libraries listed below
Sorting:
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆65Updated 3 years ago
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆26Updated 3 years ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆62Updated 2 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 4 years ago
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆28Updated last year
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆267Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆82Updated last month
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆56Updated 4 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆72Updated 9 months ago
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆71Updated 11 months ago
- ☆102Updated last year
- The project is about applying CNNs to EEG data from CHB-MIT to predict seizure☆128Updated 2 years ago
- ☆11Updated 3 years ago
- NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural …☆49Updated last year
- Analysis of Transformer attention in EEG signal classification☆48Updated last year
- ☆35Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆50Updated 2 years ago
- ☆92Updated 4 years ago
- An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.☆47Updated 2 years ago
- Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991☆74Updated 2 years ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆54Updated 2 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 6 months ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆168Updated 2 years ago
- ☆20Updated 5 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆30Updated 4 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆104Updated 7 months ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆57Updated 8 months ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆119Updated 3 years ago
- This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I …☆67Updated 3 years ago
- This is an official implementation for "SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning", Expert Systems …☆78Updated 9 months ago