jameschapman19 / cca_zooLinks
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
☆210Updated last year
Alternatives and similar repositories for cca_zoo
Users that are interested in cca_zoo are comparing it to the libraries listed below
Sorting:
- An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.☆51Updated 4 years ago
- Python package for multi-view machine learning☆210Updated last year
- An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.☆308Updated last year
- Domain adaptation toolbox compatible with scikit-learn and pytorch☆122Updated last week
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆56Updated 2 years ago
- PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…☆14Updated 2 years ago
- Alignment between clustered datasets via hierarchical Wasserstein distance☆38Updated last year
- This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probab…☆76Updated last month
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆41Updated last month
- Domain Adaptation benchmark☆24Updated 5 months ago
- M/EEG brain age benchmark paper☆28Updated 2 years ago
- Poisson Identifiable VAE (pi-VAE)☆51Updated 3 years ago
- ☆25Updated 3 months ago
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆63Updated 2 months ago
- This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"☆10Updated last year
- Generalized Canonical Correlation Analysis☆51Updated 7 years ago
- Canonical Correlation Analysis, Variational CCA☆24Updated 6 years ago
- Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One …☆99Updated last year
- Convolution dictionary learning for time-series☆130Updated 4 months ago
- ☆62Updated last year
- Classification of iEEG segments using CNN-GRU neural network☆18Updated last year
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆54Updated 4 years ago
- ☆32Updated 10 months ago
- Python code for the Riemannian Procrustes Analysis (RPA) method☆47Updated last year
- Regularized kernel canonical correlation analysis in Python☆250Updated 3 years ago
- Preferential Subspace Identification Algorithm☆52Updated last week
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆55Updated this week
- PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity☆13Updated 3 years ago
- Codebase for publication "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" @ NeurIPS (2024)☆15Updated 3 months ago
- Dictionary of Functional Modes for brain imaging☆23Updated 4 years ago