Non-negative Matrix Factorization based on cuda, with sparse matrix as input.
-
Updated
Nov 25, 2015 - Cuda
Non-negative Matrix Factorization based on cuda, with sparse matrix as input.
Context-aware non negative matrix factorization clustering. ICPR2016
Implementation of "Intelligent Intrusion Detection in Computer Networks using Swarm Intelligence," International Journal of Computer Applications 179(16):1-9, January 2018.
Non-negative Matrix Factorization (NMF) Tensorflow Implementation
This is a sample implementation of "Community Preserving Network Embedding" (AAAI 2017).
An algorithm for unsupervised discovery of sequential structure
News Extractor
Cancer data analysis on the JFCR39 dataset
Non-Negative Matrix Factorization
Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)
MSc Thesis
Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."
Topic modelling
A movie recommender pipeline hosted on a local flask server using non-negative matrix factorisation (NMF)
Non-negative matrix factorization is applied for classification of defects on steel surface using CNN
Projects for ECE 475 - Freq. Machine Learning
A generalizable collaborative filtering approach for recommending new procedures to patients and their caregivers.
Add a description, image, and links to the non-negative-matrix-factorization topic page so that developers can more easily learn about it.
To associate your repository with the non-negative-matrix-factorization topic, visit your repo's landing page and select "manage topics."