sunshiding / cca_zooLinks
Canonical Correlation Analysis Zoo: CCA, GCCA, MCCA, DCCA, DGCCA, DVCCA, DCCAE, KCCA and regularised variants
☆27Updated 5 years ago
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.☆52Updated 5 years ago
- An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.☆317Updated 2 years ago
- Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering☆52Updated 2 years ago
- Deep network that performs spectral clustering☆53Updated last year
- Four commonly used operations on the symmetric positive definite manifold☆27Updated 3 years ago
- Cross Domain Structure Preserving Projection for Heterogeneous Domain Adaptation☆15Updated 2 years ago
- The project page of paper: CPM-Nets: Cross Partial Multi-View Networks [NeurIPS 2019 Spotlight paper]☆85Updated 3 years ago
- Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)☆22Updated 6 years ago
- Deep domain adaptation networks (DDAN) library for Python with TensorFlow.☆75Updated 6 years ago
- Multi-view Linear Discriminant Analysis Network for Cross-modal Retrieval and Cross-view Recognition (Keras&Theano Code)☆17Updated 6 years ago
- [TFS 2020] Deep Fuzzy K-Means with Adaptive Loss and Entropy Regularization☆34Updated 3 years ago
- Feature fusion using Discriminant Correlation Analysis (DCA)☆65Updated 5 years ago
- CCA, DCCA, DCCAE, ConvCCA☆20Updated 4 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆38Updated 7 years ago
- Generalized Canonical Correlation Analysis☆51Updated 8 years ago
- A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.☆146Updated 6 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 5 years ago
- ☆52Updated 3 years ago
- A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance☆160Updated 6 years ago
- Deep Embedded K-means Clustering (DEKM)☆29Updated last month
- ☆15Updated 6 years ago
- This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"☆10Updated 2 years ago
- Pytorch implementation of Improved Deep Embedded Clustering☆106Updated 6 years ago
- Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.☆17Updated 6 years ago
- Deep Clustering Analysis via Dual Variational Autoencoder with Spherical Latent Embeddings powered by@torch☆12Updated 3 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆26Updated 6 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆211Updated 3 years ago
- The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…☆18Updated 7 years ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆28Updated 4 years ago
- This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Ima…☆15Updated 4 years ago