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.
☆15Updated last year
Related projects: ⓘ
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆29Updated last year
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆45Updated last year
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆20Updated last year
- ☆29Updated 4 months ago
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆11Updated last year
- Self-supervised learning for EEG☆23Updated 4 years ago
- PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…☆12Updated last year
- NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding☆12Updated 2 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆39Updated last year
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆34Updated last year
- ☆54Updated last year
- ☆35Updated 3 years ago
- ☆11Updated last year
- Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.☆29Updated 7 months ago
- Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"☆21Updated 2 years ago
- ☆18Updated 4 years ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆35Updated 2 months ago
- Code for extracting meta data from TUH EGG corpuses and queries☆11Updated 2 years ago
- ☆10Updated 3 years ago
- BioDG is a publically available framework for the evaluation of Domain Generalization algorithms in Biosignal Classification.☆14Updated 2 months ago
- PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity☆13Updated 2 years ago
- ☆14Updated 3 years ago
- ☆21Updated 2 weeks ago
- Matlab code for SBLEST algorithm☆32Updated 6 months ago
- Code helper for BEETL competition☆11Updated 3 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆49Updated 3 years ago
- Temporal information enhanced EEGNet☆11Updated last year
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆11Updated 2 months ago
- Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021☆10Updated 2 years ago
- This is the NeurIPS BEETL repository (https://beetl.ai)☆35Updated last year