edchengg / VCCA-StudyNotes
Canonical Correlation Analysis, Variational CCA
☆24Updated 6 years ago
Alternatives and similar repositories for VCCA-StudyNotes:
Users that are interested in VCCA-StudyNotes are comparing it to the libraries listed below
- Generalized Canonical Correlation Analysis☆49Updated 7 years ago
- VCCA Pytorch Implementation on MNIST dataset☆16Updated 6 years ago
- Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets☆33Updated 5 years ago
- Experiments on Self-Supervised Learning on EEG data☆18Updated 4 years ago
- ☆10Updated 6 years ago
- Multi-view dimensionality reduction using tensor canonical correlation analysis☆10Updated 6 years ago
- An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.☆48Updated 4 years ago
- ☆16Updated 4 years ago
- Independent Component Analysis (or other spacial recomposition) embedded in neural layers☆13Updated 7 years ago
- SimpleMKL Toolbox from http://asi.insa-rouen.fr/enseignants/~arakoto/code/mklindex.html☆13Updated 10 years ago
- code and data for the paper `Kernel Manifold Alignment for domain adaptation'☆19Updated 9 years ago
- Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…☆203Updated 11 months ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- Alignment between clustered datasets via hierarchical Wasserstein distance☆37Updated last year
- PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity☆13Updated 3 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆38Updated 6 years ago
- Time-Contrastive Learning☆64Updated 6 years ago
- Foundational library for Kernel methods in pattern analysis and machine learning☆41Updated 2 years ago
- Deep Generative Multi-view Model (DGMM)☆35Updated 6 years ago
- Dynamical Components Analysis☆32Updated last year
- Targeting EEG/LFP synchrony with neural nets☆16Updated 6 years ago
- Deep & Sparse CCA for Neuroimaging in Tensorflow☆24Updated 7 years ago
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 4 years ago
- Various SVM based methods for domain adaptation☆10Updated 9 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- Domain Adaptations for Video Recognition☆13Updated 11 years ago
- truncated Gaussian-Mixture Variational AutoEncoder☆11Updated 6 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆53Updated 3 years ago
- Regularized kernel canonical correlation analysis in Python☆248Updated 3 years ago