☆29Dec 4, 2024Updated last year
Alternatives and similar repositories for EEG-TransNet
Users that are interested in EEG-TransNet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆17May 21, 2025Updated 10 months ago
- ☆23Aug 10, 2023Updated 2 years ago
- ☆15Nov 9, 2023Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆42Aug 20, 2023Updated 2 years ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆20Nov 15, 2023Updated 2 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆22Apr 18, 2022Updated 3 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆87Aug 3, 2024Updated last year
- ☆34Sep 5, 2025Updated 6 months ago
- In this project, we implemented 7 interpretation techniques on two benchmark deep learning models "EEGNet" and "InterpretableCNN" for EEG…☆16Mar 15, 2022Updated 4 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Apr 22, 2025Updated 11 months ago
- combining Euclidean Alignment (EA) and weighted LTL to classify MI-based EEG☆11Jun 13, 2024Updated last year
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Apr 16, 2021Updated 4 years ago
- Code accompanying The Promise of Deep Learning for BCIs: Classification of Motor Imagery EEG using Convolutional Neural Network☆11Jan 4, 2022Updated 4 years ago
- ☆17Dec 16, 2024Updated last year
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- 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
- Attention temporal convolutional network for EEG-based motor imagery classification☆330Nov 29, 2025Updated 3 months ago
- ☆14Mar 1, 2024Updated 2 years ago
- Improving BCIs with generative models synthesizing realistic EEG signals. Co-authored research paper: https://arxiv.org/abs/2402.09453☆12Oct 18, 2025Updated 5 months ago
- ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures☆16Mar 8, 2024Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆82Jan 10, 2026Updated 2 months ago
- Dual-Branch Convolution Network with Efficient Channel Attention for EEG-Based Motor Imagery Classification☆18Aug 19, 2024Updated last year
- Perform EEG Channel selection with Gumbel-softmax☆14Jan 5, 2021Updated 5 years ago
- ☆34Jul 22, 2024Updated last year
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- ☆30Apr 13, 2023Updated 2 years ago
- ☆41May 28, 2024Updated last year
- 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
- Public EEG-based motor imagery (MI) datasets☆12Feb 1, 2024Updated 2 years ago
- Repository of EEG-Simpleconv original paper☆50Aug 20, 2025Updated 7 months ago
- Source code for self-supervised EEG data transfer learning☆15Feb 9, 2022Updated 4 years ago
- ☆13Mar 5, 2024Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆40Jul 29, 2023Updated 2 years ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆40Mar 18, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Using Deep Learning techniques to classify Motor Imagery Electroencephalography (EEG) signals☆11Oct 26, 2022Updated 3 years ago
- code for LMDA☆88Jul 14, 2023Updated 2 years ago
- code for NeurIPS_competition☆28Jan 19, 2022Updated 4 years ago
- ☆74Aug 30, 2023Updated 2 years ago
- Interactive notebook introducing the matrix exponential and matrix Lie groups, from the Quantum Formalism lecture series.☆12Apr 17, 2025Updated 11 months ago
- ☆15Aug 20, 2023Updated 2 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆103May 30, 2025Updated 9 months ago