Attention temporal convolutional network for EEG-based motor imagery classification
☆334Nov 29, 2025Updated 4 months ago
Alternatives and similar repositories for EEG-ATCNet
Users that are interested in EEG-ATCNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆93Sep 5, 2021Updated 4 years ago
- [TNSRE 23] EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆725Jul 24, 2024Updated last year
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆145Nov 25, 2023Updated 2 years ago
- ☆21Jul 13, 2023Updated 2 years ago
- Dual-Branch Convolution Network with Efficient Channel Attention for EEG-Based Motor Imagery Classification☆18Aug 19, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification☆354Mar 21, 2026Updated 3 weeks ago
- code for LMDA☆88Jul 14, 2023Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆32May 16, 2025Updated 10 months ago
- ☆34Jul 22, 2024Updated last year
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆195May 10, 2025Updated 11 months ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆170Mar 26, 2020Updated 6 years ago
- Pipeline of processing and modelisation for the detection of seizure on EEG data (dataset TUH/TUSZ)☆24Feb 17, 2022Updated 4 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Feb 22, 2021Updated 5 years ago
- ☆41May 28, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.☆1,153Jul 20, 2025Updated 8 months ago
- Multi-Source Deep Domain Adaptation Ensemble Framework for Cross-Dataset Motor Imagery EEG Transfer Learning☆26May 27, 2024Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆90Aug 3, 2024Updated last year
- ☆15Nov 9, 2023Updated 2 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆37Apr 22, 2025Updated 11 months ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆242May 20, 2024Updated last year
- Public EEG-based motor imagery (MI) datasets☆12Feb 1, 2024Updated 2 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆330Mar 23, 2023Updated 3 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆47Jan 4, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆103May 30, 2025Updated 10 months ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆40Mar 18, 2025Updated last year
- Deep Learning pipeline for motor-imagery classification.☆66Jan 9, 2022Updated 4 years ago
- ☆29Dec 4, 2024Updated last year
- This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal cl…☆1,505May 2, 2022Updated 3 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆42Aug 20, 2023Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆51Nov 25, 2024Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54May 20, 2021Updated 4 years ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Jun 7, 2021Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆71Nov 10, 2023Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆56Apr 16, 2021Updated 4 years ago
- Deep learning software to decode EEG, ECG or MEG signals☆1,197Updated this week
- ☆17Jan 15, 2025Updated last year
- 运 动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆29Feb 6, 2023Updated 3 years ago
- This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor …☆159Jul 28, 2025Updated 8 months ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Jun 23, 2020Updated 5 years ago