Alternatives and similar repositories for VSTG-MTL:

Users that are interested in VSTG-MTL are comparing it to the libraries listed below

• cciliber / matMTL
  Multi Task Learning Package for Matlab
  ☆21Updated 5 years ago
• argyriou / multi_task_learning
  Multi-task feature learning
  ☆15Updated 6 years ago
• oeufracio / NMF_ADMM_LR
  NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers
  ☆9Updated 7 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆26Updated 8 years ago
• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 9 years ago
• quanmingyao / FaNCL
  Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code
  ☆22Updated 5 years ago
• gnaixgnaw / CSP
  Spectral Clustering for Complex Graphs
  ☆39Updated 10 years ago
• vinay-jayaram / MTlearning
  Multi-task learning framework (see Jayaram et al. 2016) written in MATLAB. Python version is in pyMTL
  ☆14Updated 7 years ago
• voidman2009 / Kernel-Sparse-Representation
  Kernel Sparse Representation for Time Series Classification
  ☆17Updated 10 years ago
• KKimura360 / MLC_toolbox
  A MATLAB/OCTAVE library for Multi-Label Classification
  ☆35Updated 6 years ago
• steverab / tensor-gmm
  Implementation of learning a Gaussian mixture model using tensor decomposition.
  ☆16Updated 7 years ago
• anikethanaga / Locally-Weighted-Ensemble-Clustering
  The paper and implementation code of Locally Weighted Ensemble Clustering , IEEE TRANSACTIONS ON CYBERNETICS, VOL. 48, NO. 5, MAY 2018
  ☆16Updated 5 years ago
• Haoran-S / SNMF
  Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization
  ☆12Updated 8 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆133Updated 4 years ago
• Amirbabaeian / manifold-clustering-algorithm
  The source code to cluster multiple manifolds with intersection
  ☆11Updated 7 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆18Updated 8 years ago
• erichson / rTensor
  Randomized Tensor Decompositions
  ☆30Updated 8 years ago
• quinngroup / deep-representations-clustering
  This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".
  ☆21Updated 8 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 8 years ago
• LifangHe / NeurIPS18_SURF
  Boosted Sparse and Low-Rank Tensor Regression
  ☆12Updated 6 years ago
• nhatpd / iADMM
  iADMM for a low-rank representation optimization problem
  ☆12Updated 4 years ago
• JHUVisionLab / SSC-using-ADMM
  Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…
  ☆42Updated 8 years ago
• Critical-Infrastructure-Systems-Lab / Multi-objective-feature-selection
  MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets
  ☆30Updated last year
• stephenbeckr / zeroSR1
  Proximal gradient algorithm for convex optimization, using a diagonal +/- rank-1 norm
  ☆20Updated 2 months ago
• cnmusco / graph-similarity-learning
  Algorithms for learning network structure from effective resistances and other random-walk-based similarities.
  ☆30Updated 7 years ago
• afbujan / admm_lasso
  Lasso with ADMM in Python/MPI
  ☆29Updated 8 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆43Updated 10 years ago
• qbzhao / BRTF
  Matlab Code of Bayesian Robust Tensor Factorization
  ☆11Updated 8 years ago
• ares5221 / multi-manifoldlearning
  目前多流形学习算法matlab代码
  ☆13Updated 6 years ago
• econtal / gp-optimization-matlab
  MATLAB implementation of my Bayesian Optimization algorithms
  ☆11Updated 6 years ago