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 3 years ago
- This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has …☆14Updated 2 years ago
- Implementation of Deep SPDNet in pytorch☆65Updated last year
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆55Updated 4 years ago
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆22Updated 3 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆58Updated 2 years ago
- Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation☆12Updated 2 years ago
- ☆11Updated last year
- M/EEG brain age benchmark paper☆29Updated 2 years ago
- Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021☆11Updated 2 years ago
- Graph Convolution Network for fMRI Analysis Based on Connectivity Neighborhood☆54Updated 7 months ago
- Python code for the Riemannian Procrustes Analysis (RPA) method☆48Updated last year
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆38Updated 6 years ago
- A high-level EEG Python library for all kinds of EEG inverse solutions☆10Updated 9 months ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated 2 years ago
- ☆66Updated last year
- Python codes for applying OTDA in MI-BCI☆10Updated 8 months ago
- CNS (Computational Neuroscience) Lab project for age/sex classification of fMRI scans☆89Updated 2 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
- 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
- A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface☆15Updated 3 years ago
- This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"☆10Updated 2 years ago
- ☆10Updated 3 years ago
- Brain decoding using graph convolutional network on fMRI time-series☆41Updated 5 years ago
- Paper list and resources on machine learning for brain image (e. g. fMRI and sMRI) analysis.☆68Updated 2 months ago
- Minimal scripts available for predictions on multiple datasets☆51Updated 6 years ago
- Train Wavenet-based group-level models on MEG data, and uncover neuroscientifically interpretable information.☆14Updated last year
- Pytorch implementation of pooling-regularized GNN (PRGNN) for fMRI analysis. https://arxiv.org/pdf/2007.14589.pdf☆35Updated 4 years ago
- Implementations for CHIL 2023 paper ''PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis'' and KDD 2022 paper ''Data-Effici…☆18Updated last year
- Boosted Sparse and Low-Rank Tensor Regression☆13Updated 6 years ago