Alternatives and similar repositories for ManifoldAlignment:

Users that are interested in ManifoldAlignment are comparing it to the libraries listed below

• dtuia / KEMA
  code and data for the paper `Kernel Manifold Alignment for domain adaptation'
  ☆19Updated 9 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 8 years ago
• trigeorgis / Deep-Semi-NMF
  Theano-based implementation of Deep Semi-NMF.
  ☆112Updated 9 years ago
• Amirbabaeian / manifold-clustering-algorithm
  The source code to cluster multiple manifolds with intersection
  ☆11Updated 7 years ago
• shaobohan / VariationalGaussianCopula
  Matlab Code for Variational Gaussian Copula Inference
  ☆16Updated 9 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 10 years ago
• mijungi / lllvm
  ☆16Updated 9 years ago
• SimonDu / CUR-matrix-decomposition
  A matlab library for CUR matrix decomposition
  ☆26Updated 7 years ago
• gpeyre / 2016-ICML-gromov-wasserstein
  Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.
  ☆73Updated 8 years ago
• yfhanhust / MiniBatchSpectralClustering
  ☆13Updated 8 years ago
• mikigom / large-scale-OT-mapping-TF
  Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
  ☆19Updated 6 years ago
• sylvchev / mdla
  Multivariate Dictionary Learning Algorithm
  ☆23Updated last year
• jejjohnson / manifold_learning
  A repository with work-in-progress code: Schroedinger Eigenmaps for Manifold Learning
  ☆12Updated 7 years ago
• wenli-vision / svmplus_matlab
  An implementation of SVM+
  ☆26Updated 8 years ago
• jacobeisenstein / DPMM
  Dirichlet process mixture model code in Matlab. Sampling and variational.
  ☆71Updated 12 years ago
• bruno-31 / GAN-manifold-regularization
  This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)
  ☆44Updated 5 years ago
• colinvaz / nmf-toolbox
  Toolbox for performing Non-negative Matrix Factorization (NMF) and several variants
  ☆44Updated 5 years ago
• kmakantasis / DL-Multispectral
  Deep learning for multispectral imaging
  ☆12Updated 10 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆104Updated 5 years ago
• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 9 years ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 9 years ago
• felipeyanez / nmf
  Primal-dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence
  ☆23Updated 5 years ago
• twgr / ccfs
  Canonical Correlation Forests
  ☆20Updated 6 years ago
• UMD-ISL / Matlab-Toolbox-for-Dimensionality-Reduction
  Matlab Toolbox for Dimensionality Reduction
  ☆34Updated 10 years ago
• mehmetgonen / bssml
  Bayesian (Semi-)Supervised Multilabel Learning
  ☆11Updated 7 years ago
• jakevdp / pyLLE
  python wrapper of fast C++ LLE code
  ☆18Updated 13 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 10 years ago
• likang7 / variational-dpgmm
  Variational Dirichlet Process Gaussian Mixture Models
  ☆29Updated 10 years ago
• lockEF / MultiwayRegression
  Perform tensor-on-tensor regression
  ☆20Updated 5 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago