Topic: "latent-factors"
lanl/pyQBTNs
Python Quantum Boolean Tensor Networks
Language: Python - Size: 6.7 MB - Last synced at: 18 days ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 1
RoheLab/fastRG
Sample Generalized Random Dot Product Graphs in Linear Time
Language: R - Size: 24 MB - Last synced at: 9 days ago - Pushed at: 11 months ago - Stars: 5 - Forks: 0
Vishwesh4/Netflix-prize
Netflix data challenge hosted by PRML course in IITM, we secured 5th position as team Goodfellas
Language: Jupyter Notebook - Size: 16.7 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 0
jennasimit/flashfmZero
Latent factor GWAS; Multi-trait fine-mapping for any number of uncorrelated traits (and limited number of correlated traits)
Language: R - Size: 7.33 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
hdarjus/sparvaride
Variance Identification for Sparse Factor Analyses
Language: C++ - Size: 144 KB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1
jancervenka/acf
Lightweight recommender system for implicit feedback datasets
Language: Python - Size: 33.2 KB - Last synced at: 11 days ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1
tpmarsha/ML2AmazonKaggle
Machine learning competition - Amazon recommendations
Language: Jupyter Notebook - Size: 24.2 MB - Last synced at: 11 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1
Bwhiz/Recommender-System-ALS
This repository contains the code and resources for building a personalized movie recommendation system using matrix factorization, incorporating both latent factors and bias terms.
Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
davidecapone/WeightedMatrixFactorizationModel
Weighted Matrix Factorization model for a Recommender System
Language: Jupyter Notebook - Size: 49.1 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
petr7555/pv254-board-games-recommender
Get the best board game recommendations based on your preferences.
Language: Jupyter Notebook - Size: 48.5 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
anjalisilva/mixMPLNFA
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.
Language: R - Size: 204 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1
hdarjus/sparvaride-matlab
Matlab Implementation of Algorithms for Sparse Factor Analyses
Language: MATLAB - Size: 27.3 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1