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latent-factors

Here are 9 public repositories matching this topic...

Vishwesh4 / Netflix-prize

Netflix data challenge hosted by PRML course in IITM, we secured 5th position as team Goodfellas

python rating-prediction truncated-svd neighbourhood-models user-regression latent-factors netflix-data-challenge

Updated Jun 15, 2019
Jupyter Notebook

lanl / pyQBTNs

Python Quantum Boolean Tensor Networks

python numpy matrix-factorization quantum-computing tensor-factorization tensor-decomposition d-wave tensor-train quantum-annealing tucker-decomposition boolean-tucker-factorization boolean-tensor latent-factors boolean-matrices factor-boolean-tensors hierarchical-tucker

Updated Jul 17, 2022
Python

RoheLab / fastRG

Sample Generalized Random Dot Product Graphs in Linear Time

adjacency-matrix graph-sampling latent-factors

Updated Aug 21, 2023
R

jancervenka / acf

Lightweight recommender system for implicit feedback datasets

python machine-learning multiprocessing collaborative-filtering matrix-factorization recommendation-system recommender-system latent-factors

Updated Oct 8, 2021
Python

tpmarsha / ML2AmazonKaggle

Machine learning competition - Amazon recommendations

nlp dnn ensemble bert item-recommendation latent-factors sparse-date

Updated Aug 20, 2021
Jupyter Notebook

hdarjus / sparvaride-matlab

Matlab Implementation of Algorithms for Sparse Factor Analyses

matlab econometrics factor-analysis parameter-identification latent-factors

Updated Mar 2, 2023
MATLAB

hdarjus / sparvaride

Variance Identification for Sparse Factor Analyses

r econometrics factor-analysis parameter-identification latent-factors

Updated Mar 13, 2023
C++

petr7555 / pv254-board-games-recommender

Get the best board game recommendations based on your preferences.

collaborative-filtering tf-idf recommender-system latent-factors

Updated Sep 16, 2023
Jupyter Notebook

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.

clustering dimensionality-reduction covariance-matrix multivariate-analysis counts latent-factors mixture-models discrete-data factor-analyzer

Updated Sep 12, 2023
R

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