jjbouza / manifold-net-visionLinks
Operations for CNN on manifolds.
☆14Updated 4 years ago
Alternatives and similar repositories for manifold-net-vision
Users that are interested in manifold-net-vision are comparing it to the libraries listed below
Sorting:
- ManifoldNet Paper Implementation for SPD(n)☆11Updated 4 years ago
- This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has …☆14Updated 3 years ago
- Implementation of Deep SPDNet in pytorch☆68Updated 2 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆59Updated 4 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆59Updated 3 years ago
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆23Updated 3 years ago
- M/EEG brain age benchmark paper☆29Updated 2 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆37Updated 7 years ago
- ☆13Updated 2 years ago
- Python code for the Riemannian Procrustes Analysis (RPA) method☆48Updated last year
- Graph Convolution Network for fMRI Analysis Based on Connectivity Neighborhood☆54Updated 10 months ago
- A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface☆15Updated 4 years ago
- Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021☆12Updated 3 years ago
- Python codes for applying OTDA in MI-BCI☆11Updated 11 months ago
- Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation☆12Updated 2 years ago
- ☆11Updated 3 years ago
- This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Ima…☆15Updated 4 years ago
- ☆68Updated 2 years ago
- Codebase for publication "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" @ NeurIPS (2024)☆18Updated 5 months ago
- Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…☆17Updated 2 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆22Updated 2 years ago
- This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"☆10Updated 2 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆22Updated last year
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆68Updated 5 months ago
- Matlab code for SBLEST algorithm☆44Updated last year
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- ☆12Updated 2 years ago
- Code for NeurIPS 2019 paper "From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI"☆42Updated 3 years ago
- Paper list and resources on machine learning for brain image (e. g. fMRI and sMRI) analysis.☆68Updated 6 months ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Updated 5 years ago