nashibao / nmf_py
NMF(Non-Negative Matrix Factorization) written on python.
☆12Updated 12 years ago
Alternatives and similar repositories for nmf_py:
Users that are interested in nmf_py are comparing it to the libraries listed below
- Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)☆33Updated 6 years ago
- Non-negative Matrix Factorization (NMF) Tensorflow Implementation☆37Updated 6 years ago
- Poisson Matrix and Tensor Factorization with sparse input and internal representations☆16Updated 5 years ago
- Negative-Binomial VAE for discrete data☆18Updated 4 years ago
- This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".☆21Updated 8 years ago
- Theano-based implementation of Deep Semi-NMF.☆112Updated 9 years ago
- Mixed Membership Stochastic Blockmodel Implementation with 3 Inference Schemes☆24Updated 9 years ago
- mixed membership stochastic block model☆13Updated 8 years ago
- A TensorFlow implementation on Deep Clustering Network(DCN), ICML 2017☆13Updated 2 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- ☆25Updated 6 years ago
- Block coordinate descent for Sparse NMF☆14Updated 5 years ago
- ☆18Updated 5 years ago
- Experimental study on team formation problem.☆7Updated 9 years ago
- ☆11Updated 7 years ago
- The sample code to study non-negative matrix and tensor factorization.☆38Updated 4 years ago
- ☆12Updated 6 years ago
- Graphical Model for Recommender Systems☆20Updated 8 years ago
- Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization☆21Updated 8 years ago
- DeepPINK: reproducible feature selection in deep neural networks☆21Updated last year
- MATLAB code for performing the coalescent embedding☆14Updated last year
- Deep Multiple Kernel Learning by Span Bound☆10Updated 10 years ago
- Personalized Item Exploration Processes for Recommendation☆15Updated 5 years ago
- ☆12Updated 5 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆60Updated 4 years ago
- Several maximum likelihood ICA algorithms, including Picard☆22Updated 7 years ago
- wNMF: Weighted Non-Negative Matrix Factorization☆15Updated last year
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago