neerajwagh / evaluating-eeg-representations
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
☆16Updated last year
Alternatives and similar repositories for evaluating-eeg-representations:
Users that are interested in evaluating-eeg-representations are comparing it to the libraries listed below
- ☆10Updated last year
- M/EEG brain age benchmark paper☆26Updated 2 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated last year
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆34Updated 2 years ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆51Updated last month
- NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding☆12Updated 3 years ago
- ☆59Updated last year
- Self-supervised learning for EEG☆25Updated 4 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆38Updated last year
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆14Updated last year
- ☆37Updated 4 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆54Updated 2 years ago
- Matlab code for SBLEST algorithm☆41Updated last year
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆45Updated last year
- Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation☆12Updated last year
- NEAR - Neonatal EEG Artifact Removal, an automated pipeline for pre-processing.☆10Updated 2 weeks ago
- [Nature Communications 2021] Continual learning of AI models on ECG data with CLOPS☆20Updated 2 years ago
- ☆18Updated 4 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆53Updated 3 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- ☆12Updated 5 years ago
- ☆33Updated last month
- code for NeurIPS_competition☆27Updated 3 years ago
- BioDG is a publically available framework for the evaluation of Domain Generalization algorithms in Biosignal Classification.☆18Updated 2 weeks ago
- PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…☆13Updated 2 years ago
- Python codes for applying OTDA in MI-BCI☆9Updated 3 months ago
- This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.☆30Updated 4 years ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆21Updated 3 years ago
- Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning☆46Updated last year
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago