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
- Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets☆33Updated 5 years ago
- Multi-view dimensionality reduction using tensor canonical correlation analysis☆10Updated 6 years ago
- Deep Generative Multi-view Model (DGMM)☆35Updated 6 years ago
- Targeting EEG/LFP synchrony with neural nets☆16Updated 6 years ago
- Deep & Sparse CCA for Neuroimaging in Tensorflow☆24Updated 7 years ago
- Contrastive Variational Autoencoders☆63Updated 6 years ago
- SimpleMKL Toolbox from http://asi.insa-rouen.fr/enseignants/~arakoto/code/mklindex.html☆13Updated 10 years ago
- Experiments on Self-Supervised Learning on EEG data☆18Updated 4 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- VCCA Pytorch Implementation on MNIST dataset☆16Updated 6 years ago
- PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity☆13Updated 3 years ago
- Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…☆203Updated 10 months ago
- Library of transfer learners and domain-adaptive classifiers.☆90Updated 6 years ago
- Multi-view Linear Discriminant Analysis Network for Cross-modal Retrieval and Cross-view Recognition (Keras&Theano Code)☆17Updated 5 years ago
- Hierarchical Wasserstein Alignment☆9Updated 5 years ago
- Implementation of learning a Gaussian mixture model using tensor decomposition.☆16Updated 7 years ago
- ☆23Updated 10 years ago
- Connectome-convolutional neural netvork for connectivity-based classificatin☆37Updated 5 years ago
- ☆10Updated 6 years ago
- A Unified Framework for Metric Transfer Learning☆17Updated 7 years ago
- Foundational library for Kernel methods in pattern analysis and machine learning☆41Updated 2 years ago
- Alignment between clustered datasets via hierarchical Wasserstein distance☆37Updated last year
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆38Updated 6 years ago
- Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Pr…☆71Updated 6 years ago
- Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)☆20Updated 6 years ago
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 4 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 years ago
- Time-Contrastive Learning☆64Updated 6 years ago