acopar / fast-nmtfLinks
Fast methods for non-negative matrix tri-factorization
☆16Updated 6 years ago
Alternatives and similar repositories for fast-nmtf
Users that are interested in fast-nmtf are comparing it to the libraries listed below
Sorting:
- Python code for "Fast Bayesian nonnegative matrix factorisation and tri-factorisation", presented at NIPS 2016 Workshop on Advances in Ap…☆20Updated 7 years ago
- scikit-fusion: Data fusion via collective latent factor models☆151Updated 2 years ago
- Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.☆79Updated 8 months ago
- A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overla…☆143Updated 4 years ago
- Integrative orthogonal non-negative matrix factorization☆32Updated 6 years ago
- Python toolbox for nonnegative matrix factorization☆117Updated 7 years ago
- convert a lot of zeros and ones to fewer real numbers☆23Updated 11 years ago
- Denoising Autoencoders for Phenotype Stratification☆42Updated 7 years ago
- A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a co…☆74Updated 3 years ago
- pure python code for rank aggregation/voting☆31Updated 4 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- Graph regularized nonnegative matrix factorization (GNMF) in Python☆46Updated 5 years ago
- Robust Ensemble of SVMs☆21Updated 11 years ago
- Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see…☆33Updated 7 years ago
- ☆63Updated 5 years ago
- Bayesian Factorization with Side Information in C++ with Python wrapper☆41Updated 4 years ago
- Code for ensemble clustering☆103Updated 9 months ago
- Hierarchical graph clustering☆38Updated 7 years ago
- Tools for building and manipulating graphs in Python☆46Updated last month
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 10 years ago
- Python implementation of Robust Continuous Clustering☆106Updated 6 years ago
- Python Wrapper for FIt-SNE☆45Updated 4 years ago
- Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)☆33Updated 7 years ago
- Several maximum likelihood ICA algorithms, including Picard☆23Updated 8 years ago
- Python Matrix Factorization Module☆14Updated 8 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 8 years ago
- Deep patient implementation☆46Updated 8 years ago
- Making survival analysis work in TensorFlow☆19Updated 8 years ago
- Applying deep learning for very early recognition of pluripotent stem cell differentiation☆11Updated 6 years ago
- Notebooks in support of the UMAP paper☆44Updated 4 years ago