Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
☆45Sep 9, 2023Updated 2 years ago
Alternatives and similar repositories for MUPS-EEG
Users that are interested in MUPS-EEG are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆25Sep 22, 2022Updated 3 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆41Jun 3, 2020Updated 5 years ago
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆18Jun 11, 2023Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Jan 11, 2023Updated 3 years ago
- ☆27Jan 19, 2018Updated 8 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.
- This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual Inter…☆108Jun 4, 2023Updated 2 years ago
- 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
- BIBM 24, mixture of graph experts for cross-subject EEG emotion recognitions☆20Apr 25, 2025Updated 11 months ago
- ☆76Aug 30, 2023Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆32May 16, 2025Updated 11 months ago
- Code for paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆113Oct 22, 2025Updated 5 months ago
- This is the repository with the materials for the Graz BCI 2019 workshop : "Benchmarking BCI classification methods: a hands-on introduct…☆16Sep 17, 2019Updated 6 years ago
- code for NeurIPS_competition☆28Jan 19, 2022Updated 4 years ago
- NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding☆13Dec 9, 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.
- Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"☆24Sep 30, 2021Updated 4 years ago
- EEG-Based Alzheimer’s Disease Recognition Using Robust-PCA and LSTM Recurrent Neural Network☆14Apr 12, 2023Updated 3 years ago
- How EEG preprocessing shapes decoding performance☆17Jul 11, 2025Updated 9 months ago
- It is the task to classify BCI competition datasets (EEG signals) using EEGNet and DeepConvNet with different activation functions. You …☆23Jun 18, 2022Updated 3 years ago
- ☆13Nov 15, 2022Updated 3 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆43Jan 27, 2021Updated 5 years ago
- Code for our paper Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation IJCAI 2021☆20Jun 6, 2021Updated 4 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆72Sep 29, 2025Updated 6 months ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆242May 20, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A platform for closed-loop intracranial stimulation in humans☆12Feb 13, 2021Updated 5 years ago
- ☆34Mar 16, 2025Updated last year
- Custom Domain Adaptation: a new method for cross-subject, EEG-based cognitive load recognition☆15Jul 25, 2021Updated 4 years ago
- Different methods(STFT, CWT) transform EEG signal into image visualization☆16Jan 11, 2021Updated 5 years 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
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆57Jun 15, 2021Updated 4 years ago
- CNN and RNN based architectures for Motor Imagery Classification☆15Jun 13, 2019Updated 6 years ago
- Create optimized ICA training (OPTICAT) data for EEG data recorded during free viewing (Dimigen, 2020, NeuroImage)☆20Jun 27, 2024Updated last year
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆78May 19, 2025Updated 10 months ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆52Jul 3, 2024Updated last year
- ☆17Dec 16, 2024Updated last year
- Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "…☆26Mar 15, 2022Updated 4 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆47Oct 25, 2019Updated 6 years ago
- Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…☆19Jul 12, 2023Updated 2 years ago
- This Python project aims to predict emotions in individuals based on EEG-based data SEED-IV. The project utilizes transfer learning techn…☆13Aug 29, 2023Updated 2 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