YirongMao / SPDNetLinks
This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017
☆37Updated 7 years ago
Alternatives and similar repositories for SPDNet
Users that are interested in SPDNet are comparing it to the libraries listed below
Sorting:
- Implementation of Deep SPDNet in pytorch☆70Updated 2 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆62Updated 4 years ago
- This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Ima…☆15Updated 5 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆44Updated 2 years ago
- An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.☆326Updated 2 years ago
- Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)☆22Updated 6 years ago
- Targeting EEG/LFP synchrony with neural nets☆17Updated 6 years ago
- Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"☆24Updated 4 years ago
- Dimensionality reduction based on distance preservation to local mean for symmetric positive definite matrices☆10Updated 8 years ago
- Code for UAI 2019 paper "Domain Generalization via Multidomain Discriminant Analysis"☆14Updated 6 years ago
- Four commonly used operations on the symmetric positive definite manifold☆28Updated 3 years ago
- Multiple Source Domain Adaptation with Adversarial Learning☆22Updated 5 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
- Self-supervised learning for EEG☆28Updated 5 years ago
- Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021☆14Updated 3 years ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆28Updated 4 years ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆47Updated 4 years ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Updated 5 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆22Updated last year
- ManifoldNet Paper Implementation for SPD(n)☆11Updated 4 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago
- This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.☆31Updated 5 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆26Updated 6 years ago
- An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.☆52Updated 5 years ago
- The code for an EEG feature filtering and disguising model☆14Updated 4 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆60Updated 3 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆36Updated 2 months ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆39Updated 2 years ago
- A Benchmark to Study Negative Transfer https://ieeexplore.ieee.org/document/9938381☆17Updated 2 years ago
- Multi-view Linear Discriminant Analysis Network for Cross-modal Retrieval and Cross-view Recognition (Keras&Theano Code)☆18Updated 6 years ago