Alternatives and similar repositories for symnmf

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

• steverab / tensor-gmm
  Implementation of learning a Gaussian mixture model using tensor decomposition.
  ☆16Updated 7 years ago
• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 9 years ago
• kbatseli / TTr1SVD
  Tensor Train Rank-1 decomposition
  ☆19Updated 6 years ago
• trigeorgis / Deep-Semi-NMF
  Theano-based implementation of Deep Semi-NMF.
  ☆113Updated 9 years ago
• oeufracio / NMF_ADMM_LR
  NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers
  ☆9Updated 7 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆133Updated 4 years ago
• gnaixgnaw / CSP
  Spectral Clustering for Complex Graphs
  ☆39Updated 11 years ago
• edchengg / VCCA_pytorch
  VCCA Pytorch Implementation on MNIST dataset
  ☆16Updated 7 years ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆35Updated 7 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 8 years ago
• dakuang / symnmf
  Symmetric NMF for graph clustering
  ☆29Updated 7 years ago
• aburnap / Mixed-Membership-Stochastic-Blockmodel
  Mixed Membership Stochastic Blockmodel Implementation with 3 Inference Schemes
  ☆24Updated 9 years ago
• wutao27 / GtensorSC
  codes for the paper General Tensor Spectral Co-clustering for Higher-Order Data
  ☆17Updated 8 years ago
• kaityo256 / hooi_sample
  Comparison between HOSVD and HOOI
  ☆8Updated 7 years ago
• mli / nystrom
  ☆16Updated 12 years ago
• sepehrband / drawNemenyi
  Publication quality figure for Nemenyi post-hoc test for the Friedman's test
  ☆21Updated 7 years ago
• csliangdu / FSASL
  An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…
  ☆43Updated 7 years ago
• jiangyangby / MM18-Deep-Cognitive-Subspace-Clustering
  Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)
  ☆11Updated 5 years ago
• hexiangnan / CoNMF
  Co-regularized Non-negative Matrix Factorization
  ☆18Updated 8 years ago
• abhinav4192 / sparse-subspace-clustering-python
  Python implementation of Sparse Subspace Clustering algorithm.
  ☆79Updated 6 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
• datang1992 / Correlated-VAEs
  Code for my ICML 2019 paper "Correlated Variational Auto-Encoders"
  ☆15Updated 5 years ago
• kmi010 / Time-series-cluster-kernel-TCK-
  Matlab implementation of TCK
  ☆12Updated 5 years ago
• edchengg / VCCA-StudyNotes
  Canonical Correlation Analysis, Variational CCA
  ☆24Updated 6 years ago
• neel-dey / robustNTF
  PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization…
  ☆20Updated last year
• qiangsiwei / tensor_tools
  张量分解算法整理
  ☆62Updated 9 years ago
• smatmo / l0-sparse-NMF
  ☆12Updated 8 years ago
• markvdw / GPflow-inter-domain
  Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
  ☆13Updated 7 years ago
• sheryl-ai / MVGCN
  Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
  ☆101Updated 5 years ago
• davidhallac / NetworkLasso
  ☆22Updated 9 years ago