Netflix data challenge hosted by PRML course in IITM, we secured 5th position as team Goodfellas
Python Quantum Boolean Tensor Networks
Sample Generalized Random Dot Product Graphs in Linear Time
Lightweight recommender system for implicit feedback datasets
Machine learning competition - Amazon recommendations
Get the best board game recommendations based on your preferences.
Variance Identification for Sparse Factor Analyses
Matlab Implementation of Algorithms for Sparse Factor Analyses
R Package That Can Simultaneously Perform Factor Analysis And Cluster Analysis Of Count Data Via Parsimonious Finite Mixtures of Multivariate Poisson-Log Normal Factor Analyzers. This Model Permits For Parsimonious Covariance Structures And Dimension Reduction, Thus Reducing The Number Of Free Parameters To Be Calculated.
Weighted Matrix Factorization model for a Recommender System
Add a description, image, and links to the latent-factors topic page so that developers can more easily learn about it.
To associate your repository with the latent-factors topic, visit your repo's landing page and select "manage topics."