perimosocordiae / ManifoldAlignmentLinks
Manifold Alignment code for Matlab
☆11Updated 9 years ago
Alternatives and similar repositories for ManifoldAlignment
Users that are interested in ManifoldAlignment are comparing it to the libraries listed below
Sorting:
- Theano-based implementation of Deep Semi-NMF.☆120Updated 10 years ago
- code and data for the paper `Kernel Manifold Alignment for domain adaptation'☆19Updated 9 years ago
- ☆13Updated 8 years ago
- Deep learning for multispectral imaging☆13Updated 10 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 10 years ago
- Robust Principal Component Analysis via ADMM in Python☆107Updated 8 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 10 years ago
- Python implementation of Robust Continuous Clustering☆106Updated 6 years ago
- ☆17Updated 9 years ago
- Toolbox for performing Non-negative Matrix Factorization (NMF) and several variants☆47Updated 6 years ago
- Canonical Correlation Forests☆21Updated 7 years ago
- python code for kernel methods☆41Updated 6 years ago
- ☆16Updated 13 years ago
- ☆40Updated 6 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- Bayesian GPLVM in MATLAB and R☆76Updated 8 years ago
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆71Updated 13 years ago
- Collapsed Variational Bayes☆72Updated 6 years ago
- Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325☆12Updated 5 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- A Python convex optimization package using proximal splitting methods☆118Updated 2 months ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 11 years ago
- Implementation of learning a Gaussian mixture model using tensor decomposition.☆15Updated 8 years ago
- Sparse-input neural networks☆23Updated 2 years ago
- MATLAB Tensor Tools☆89Updated last week
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆75Updated 9 years ago
- Matlab Toolbox for Dimensionality Reduction☆39Updated 10 years ago
- MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.☆33Updated 5 years ago