nimfa
NMF library
A Python library for nonnegative matrix factorization techniques
nimfa - A Python Library for Nonnegative Matrix Factorization Techniques
10 stars
1 watching
3 forks
Language: Python
last commit: over 6 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| Provides a collection of algorithms for nonnegative matrix and tensor factorizations. | 57 |
| A software framework for nonnegative matrix factorization and its application to multi-modal omics data analysis | 17 |
| A software implementation of a matrix factorization technique to fuse graph structure and content into node embeddings. | 20 |
| Provides tools for factorizing non-negative matrices into lower rank products | 90 |
| An implementation of Community Preserving Network Embedding using deep learning and matrix factorization techniques | 121 |
| Provides code and data support for FSCNMF, a network representation technique. | 2 |
| An implementation of weighted orthogonal non-negative parallel factor analysis (PARAFAC) in MATLAB for bioinformatics and genomics applications. | 1 |
| A library designed to factorize highly sparse tensors with guaranteed cost-function decrease | 48 |
| A cryptographic library for Nim programming language | 192 |
| A Python library implementing a CF data model and providing tools for Earth Science data analysis | 129 |
| An implementation of an algorithm for factoring integers using quantum computing and optimization techniques | 50 |
| A Numpy-like library in Swift for multi-dimensional array and matrix operations | 135 |
| A simple config file implementation for Micropython projects | 5 |
| A Nim programming language library for functional programming concepts and operations. | 135 |
| A Python-based parser for extracting data from automotive configuration files | 1 |