☆40Sep 5, 2025Updated 10 months ago
Alternatives and similar repositories for ADFCNN-MI
Users that are interested in ADFCNN-MI are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This code repository collects the source code of the representative deep learning-based MI-EEG models and runs a leaderboard to fairly co…☆21May 10, 2026Updated 2 months ago
- This study introduces TFCA-TransNet, a deep learning framework for individual EEG-MI signal classification. It combines FFT-derived feat…☆20Dec 5, 2025Updated 7 months ago
- ☆30Dec 4, 2024Updated last year
- ☆17May 21, 2025Updated last year
- CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification☆450Mar 21, 2026Updated 4 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [KBS 2025] Multi-View Contrastive Network (MVCNet) for Motor Imagery Classification☆26Aug 10, 2025Updated 11 months ago
- ☆22Aug 10, 2023Updated 2 years ago
- Multi-Scale Convolutional Transformer Network for Motor Imagery Brain-Computer Interface☆207Nov 25, 2025Updated 8 months ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆40Mar 18, 2025Updated last year
- Multi-Source Deep Domain Adaptation Ensemble Framework for Cross-Dataset Motor Imagery EEG Transfer Learning☆29May 27, 2024Updated 2 years ago
- DDGCNN for ssvep☆15Dec 6, 2023Updated 2 years ago
- ☆14Mar 1, 2024Updated 2 years ago
- 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☆30Feb 6, 2023Updated 3 years ago
- Using Deep Learning techniques to classify Motor Imagery Electroencephalography (EEG) signals☆11Oct 26, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This is just a simple code of how to process EEG data when I learn motor imagination, just for reference.At the same time, it also contai…☆23Nov 13, 2024Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Aug 20, 2023Updated 2 years ago
- Pipeline of processing and modelisation for the detection of seizure on EEG data (dataset TUH/TUSZ)☆28Feb 17, 2022Updated 4 years ago
- Temporal convolutional transformer for EEG based motor imagery decoding☆42May 17, 2026Updated 2 months ago
- A comprehensive list of pain intensity classification papers mainly based on deep learning algorithms☆12Oct 20, 2024Updated last year
- [IEEE JBHI 2026] DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding☆70Updated this week
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆19Nov 15, 2023Updated 2 years ago
- ☆14Aug 20, 2023Updated 2 years ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆10Oct 25, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆37May 16, 2025Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆92Aug 3, 2024Updated last year
- ☆23Mar 25, 2025Updated last year
- ☆18Jan 15, 2025Updated last year
- Deep Learning pipeline for motor-imagery classification.☆64Jan 9, 2022Updated 4 years ago
- Residual and bidirectional LSTM for epileptic seizure detection☆176Jul 1, 2025Updated last year
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆21Apr 18, 2022Updated 4 years ago
- ☆21Jul 13, 2023Updated 3 years ago
- The first EEG foundation model explicitly tailored for the motor imagery (MI) paradigm.☆122Apr 26, 2026Updated 3 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- combining Euclidean Alignment (EA) and weighted LTL to classify MI-based EEG☆11Jun 13, 2024Updated 2 years ago
- This is the open source code of 《DeepSyncNet:Deep Synchronized Fusion Network for EEG-fNIRS Multimodal Brain-Computer Interfaces》☆18Mar 17, 2026Updated 4 months ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆354Nov 29, 2025Updated 8 months ago
- [TNSRE 23] EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.☆754Jul 24, 2024Updated 2 years ago
- Improving BCIs with generative models synthesizing realistic EEG signals. Co-authored research paper: https://arxiv.org/abs/2402.09453☆11Oct 18, 2025Updated 9 months ago
- A Novel Decoding Approach for Hybrid EEG-fNIRS BCI.☆45Mar 13, 2025Updated last year
- Perform EEG Channel selection with Gumbel-softmax☆13Jan 5, 2021Updated 5 years ago