neerajwagh / evaluating-eeg-representationsLinks
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
Sorting:
- ☆11Updated last year
- M/EEG brain age benchmark paper☆28Updated 2 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated last year
- A repo documenting EEG-Dash data and its usage☆18Updated this week
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆34Updated 2 years ago
- NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding☆12Updated 3 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆57Updated 2 years ago
- PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…☆14Updated 2 years ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆55Updated 2 weeks ago
- Python codes for applying OTDA in MI-BCI☆10Updated 6 months ago
- Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation☆12Updated 2 years ago
- ☆13Updated 5 years ago
- [Nature Communications 2021] Continual learning of AI models on ECG data with CLOPS☆20Updated 2 years ago
- ☆35Updated 4 months ago
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆15Updated 2 years ago
- BioDG is a publically available framework for the evaluation of Domain Generalization algorithms in Biosignal Classification.☆19Updated 3 months ago
- PyTorch implementation for the paper "The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG…☆11Updated last month
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆38Updated last year
- Code helper for BEETL competition☆11Updated 3 years ago
- ☆65Updated last year
- Code repository for S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models☆18Updated last year
- NEAR - Neonatal EEG Artifact Removal, an automated pipeline for pre-processing.☆12Updated 3 weeks ago
- Implementation for the paper 'Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport' (ICL…☆17Updated 5 months ago
- 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
- ☆38Updated 4 years ago
- ☆14Updated 2 years ago
- Pre-trained Transformer on Brain Signals☆28Updated last month
- Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021☆11Updated 2 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year