☆13Nov 15, 2022Updated 3 years ago
Alternatives and similar repositories for EEGGENET
Users that are interested in EEGGENET are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆22Dec 18, 2022Updated 3 years ago
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Mar 30, 2021Updated 5 years ago
- ☆15Dec 18, 2019Updated 6 years ago
- ☆10Feb 25, 2020Updated 6 years ago
- ☆10Sep 25, 2019Updated 6 years ago
- 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.
- ☆41May 28, 2024Updated 2 years ago
- ☆17Dec 16, 2024Updated last year
- ☆15Nov 9, 2023Updated 2 years ago
- ☆15Sep 3, 2020Updated 5 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Feb 2, 2022Updated 4 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆17Jan 8, 2024Updated 2 years ago
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆17Jun 11, 2023Updated 3 years ago
- Machine learning on motor imagery data.☆17May 15, 2020Updated 6 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆47Jan 4, 2024Updated 2 years 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.
- Python codes for applying OTDA in MI-BCI☆11Dec 8, 2024Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆49Nov 25, 2024Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆50Oct 27, 2022Updated 3 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Aug 16, 2022Updated 3 years ago
- combining Euclidean Alignment (EA) and weighted LTL to classify MI-based EEG☆11Jun 13, 2024Updated 2 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54May 20, 2021Updated 5 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆23Jul 12, 2023Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆145Nov 25, 2023Updated 2 years ago
- Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/☆15Nov 9, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Aug 20, 2023Updated 2 years ago
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆24Sep 22, 2022Updated 3 years ago
- ☆98Sep 5, 2021Updated 4 years ago
- ☆34Jul 22, 2024Updated 2 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆354Nov 29, 2025Updated 8 months ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆10Oct 25, 2022Updated 3 years ago
- An EEG dichotomy program file , using CSP and SVM.☆28Jun 27, 2020Updated 6 years ago
- Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)☆20Aug 24, 2021Updated 4 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆85Sep 24, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- code for LMDA☆89Jul 14, 2023Updated 3 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆81Apr 12, 2018Updated 8 years ago
- PyTroch Implementation of the following paper, "ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation, ICCV'21""☆16Jul 19, 2022Updated 4 years ago
- Implementation of the soft 2D Frangi filter on Pytorch☆11Mar 2, 2022Updated 4 years ago
- Classification of eeg signals using knn and svm based upon significant features☆14Jan 10, 2023Updated 3 years ago
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆10Oct 24, 2020Updated 5 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆105May 30, 2025Updated last year