eesungkim / NMF-TensorflowLinks
Non-negative Matrix Factorization (NMF) Tensorflow Implementation
☆37Updated 7 years ago
Alternatives and similar repositories for NMF-Tensorflow
Users that are interested in NMF-Tensorflow are comparing it to the libraries listed below
Sorting:
- Theano-based implementation of Deep Semi-NMF.☆119Updated 9 years ago
- Toolbox for performing Non-negative Matrix Factorization (NMF) and several variants☆47Updated 6 years ago
- Code from http://www.ee.columbia.edu/~grindlay/code.html☆26Updated 4 months ago
- Block coordinate descent for Sparse NMF☆14Updated 6 years ago
- A pytorch package for non-negative matrix factorization.☆242Updated last year
- Adaptive pooling operators for multiple instance learning☆77Updated 3 years ago
- Deep & Sparse CCA for Neuroimaging in Tensorflow☆24Updated 8 years ago
- Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmi…☆66Updated 6 years ago
- A TensorFlow implementation on Deep Clustering Network(DCN), ICML 2017☆13Updated 3 years ago
- This repository has implementation and tutorial for Deep Belief Network☆101Updated 6 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆106Updated 3 years ago
- Deep Autoencoder-like NMF☆23Updated 4 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆26Updated 7 years ago
- An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras☆41Updated 7 years ago
- Tensorflow implementation of Spatial VAE via Matrix-Variate Normal Distributions☆14Updated 8 years ago
- An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.☆52Updated 5 years ago
- OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1☆38Updated 2 years ago
- ☆24Updated 6 years ago
- ☆44Updated 7 years ago
- Generalized Canonical Correlation Analysis☆51Updated 8 years ago
- Implementation of deep recurrent nonnegative matrix factorization (DR-NMF) for speech separation☆48Updated 6 years ago
- Group sparse Canonical Correlation Analysis (group sparse CCA) is a method designed to study the mutual relationship between two differen…☆13Updated 7 years ago
- A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).☆206Updated 2 years ago
- This is the code for the paper Statistical Recurrent Models on Manifold valued Data☆17Updated 4 years ago
- Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).☆57Updated 6 years ago
- Tensorflow implementation of "Unsupervised Deep Embedding for Clustering Analysis"☆60Updated 7 years ago
- Deep Learning - Multi-Task Representation Learning using Shared Architecture for Deep Neural Networks☆19Updated 8 years ago
- NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1☆335Updated 2 years ago
- ☆12Updated 9 years ago