drumichiro / nmf-and-ntfLinks
The sample code to study non-negative matrix and tensor factorization.
☆38Updated 5 years ago
Alternatives and similar repositories for nmf-and-ntf
Users that are interested in nmf-and-ntf are comparing it to the libraries listed below
Sorting:
- ☆74Updated 6 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 7 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 2 months ago
- Revealing mesocale structures of time-varying networks through non-negative tensor factorization☆45Updated 10 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 8 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras☆41Updated 7 years ago
- Python toolbox for nonnegative matrix factorization☆115Updated 7 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Matlab implementation of TCK☆12Updated 6 years ago
- Kernelized Bayesian Matrix Factorization☆17Updated 7 years ago
- Poisson Matrix and Tensor Factorization with sparse input and internal representations☆16Updated 5 years ago
- Generalized Canonical Correlation Analysis☆51Updated 7 years ago
- Localized Multiple Kernel k-Means Clustering☆27Updated 6 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Tensor decomposition implemented in TensorFlow☆63Updated 6 years ago
- Variational Recurrent Auto Encoder☆15Updated 9 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 5 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations☆58Updated 11 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".☆21Updated 8 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- Randomized Tensor Decompositions☆30Updated 8 years ago
- Sparse-input neural networks☆23Updated 2 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- Robust Spectral Clustering. Implementation of "Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Emb…☆26Updated 5 years ago
- Deep Embedding Clustering in Keras☆132Updated 8 years ago