GitHub / benedekrozemberczki / NMFADMM
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benedekrozemberczki%2FNMFADMM
PURL: pkg:github/benedekrozemberczki/NMFADMM
Stars: 47
Forks: 11
Open issues: 0
License: gpl-3.0
Language: Python
Size: 7.13 MB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: 13 days ago
Pushed at: almost 3 years ago
Last synced at: 8 days ago
Topics: admm, beta-divergence, deepwalk, embedding, factorization, feature-extraction, lda, matrix-factorization, nmf, node2vec, optimization, pca, principal-component-analysis, principal-components, sparse-matrix, topic-modeling, unsupervised-learning, unsupervised-machine-learning, word-embedding, word2vec
Funding Links https://github.com/sponsors/benedekrozemberczki