arminarj / DeepGCCA-pytorchLinks
An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.
☆51Updated 4 years ago
Alternatives and similar repositories for DeepGCCA-pytorch
Users that are interested in DeepGCCA-pytorch are comparing it to the libraries listed below
Sorting:
- Generalized Canonical Correlation Analysis☆51Updated 7 years ago
- An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.☆308Updated last year
- Canonical Correlation Analysis Zoo: CCA, GCCA, MCCA, DCCA, DGCCA, DVCCA, DCCAE, KCCA and regularised variants☆27Updated 4 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆34Updated 2 years ago
- Deep Generative Multi-view Model (DGMM)☆35Updated 6 years ago
- Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets☆33Updated 5 years ago
- This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"☆10Updated last year
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated last year
- ☆38Updated 4 years ago
- CCA, DCCA, DCCAE, ConvCCA☆19Updated 4 years ago
- Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…☆210Updated last year
- ☆16Updated 3 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆54Updated 4 years ago
- Implementation of Brain Signal Classification via Learning Connectivity Structure☆17Updated 3 years ago
- Four commonly used operations on the symmetric positive definite manifold☆26Updated 2 years ago
- Code release for ICLR 2021 paper "Generalised Multimodal ELBO"☆40Updated 2 years ago
- Self-supervised learning for EEG☆25Updated 4 years ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆48Updated 2 years ago
- Targeting EEG/LFP synchrony with neural nets☆16Updated 6 years ago
- Fused Window Transformers for fMRI Time Series Analysis (https://www.sciencedirect.com/science/article/pii/S1361841523001019)☆34Updated last year
- Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "…☆19Updated 3 years ago
- an end to end framework for analyzing fMRI time-series data (4D) using transformers☆47Updated 3 years ago
- ☆11Updated 6 years ago
- ☆68Updated 6 months ago
- Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering☆51Updated 2 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆47Updated 4 years ago
- Implementation of Multiplex Graph Networks for Multimodal Brain Network Analysis☆9Updated 9 months ago
- A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Series☆28Updated 10 months ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆37Updated 6 years ago
- Multi-view Linear Discriminant Analysis Network for Cross-modal Retrieval and Cross-view Recognition (Keras&Theano Code)☆17Updated 5 years ago