zhenxingjian / SPD-SRULinks
This is the code for the paper Statistical Recurrent Models on Manifold valued Data
☆17Updated 4 years ago
Alternatives and similar repositories for SPD-SRU
Users that are interested in SPD-SRU are comparing it to the libraries listed below
Sorting:
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆54Updated 4 years ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Updated 4 years ago
- Experiments on Self-Supervised Learning on EEG data☆18Updated 4 years ago
- Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets☆33Updated 5 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆37Updated 6 years ago
- Implementation of Deep SPDNet in pytorch☆64Updated last year
- Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning☆46Updated last year
- SimpleMKL Toolbox from http://asi.insa-rouen.fr/enseignants/~arakoto/code/mklindex.html☆13Updated 10 years ago
- Pytorch/Python implementation of the joint CNN-LSTM deep learning model☆25Updated 3 years ago
- Custom Domain Adaptation: a new method for cross-subject, EEG-based cognitive load recognition☆15Updated 3 years ago
- Generalized Canonical Correlation Analysis☆51Updated 7 years ago
- Deep Generative Multi-view Model (DGMM)☆35Updated 6 years ago
- My experiment of multilayer NMF, a deep neural network in which the first several layers take Semi-NMF as its pseudo-activation-function …☆8Updated 7 years ago
- CCAs for looking into DNNs☆70Updated 4 years ago
- Four commonly used operations on the symmetric positive definite manifold☆26Updated 2 years ago
- ☆11Updated last year
- An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.☆51Updated 4 years ago
- Blind Source Separation: Independent Component Analysis for EEG data with python-MNE package and SSVEP☆12Updated 6 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆48Updated 9 years ago
- Connectome-convolutional neural netvork for connectivity-based classificatin☆37Updated 5 years ago
- WICA: nonlinear weighted ICA☆12Updated last year
- Differentiable short-time Fourier transform (DSTFT): Gradient-based parameters tuning for adaptive time-frequency representation. DSTFT i…☆34Updated last year
- Temporally adaptive common spatial patterns with convolutional neural networks☆9Updated 3 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)☆85Updated 3 years ago
- This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"☆10Updated last year
- Code for a seq2seq architecture with Bahdanau attention designed to map stereotactic EEG data from human brains to spectrograms, using th…☆32Updated 2 years ago
- The code for the ICIP 2019 submission☆26Updated 6 years ago
- ☆32Updated 4 years ago
- Deep & Sparse CCA for Neuroimaging in Tensorflow☆24Updated 8 years ago