latent-factor-model

There are 3 repositories under latent-factor-model topic.

BIMSBbioinfo / maui
Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
bioinformatics deep-learning autoencoder latent-factor-model cancer-genomics multi-omics
Language:Jupyter Notebook 48
safreita1 / Recommender-System
Anime recommender system using collaborative filtering and latent factor model
collaborative-filtering latent-factor-model sparse-matrix anime recommender-system
Language:Python 26
belg92 / HMSC
Hierarchical Model of Species Communities (HMSC) is an R package, which provides extensive set of analytical tools devised for numerical analysis of data on ecological communities or other similarly structured data. The methodological core of the HMSC approach is centered on combination of hierarchical regression and latent factor models.
latent-factor-model community-ecology bayesian-data-analysis
Language:R 11
chaos-rrs
kdevo / chaos-rrs
Chaos - a first of its kind framework for researching Reciprocal Recommender Systems (RRS).
chaos reciprocal recommender-system reciprocal-recommender-system rrs recommender-systems human-to-human user-to-user collaborative-filtering research master-thesis framework reciprocal-lfm latent-factor-model embeddings
Language:Python 11
bhaskar6f1 / Latent-Factor-Model-for-rating-prediction
Google Local Rating Prediction using Latent Factor Model. Recommender System - CSE 258 Assignment 1
recommender-system rating-prediction latent-factor-model python
Language:Python 9
xxl4tomxu98 / econometrics-gdp-dpi-VAR
Multivariate time series Vector Autoregression Model (VAR) on real world GDP and DPI (and some other indexes). Bayesian Structured Time Series (BSTS).
statmodels python vector-autoregression-models econometric-analysis forecasting-models time-series-analysis bayesian-inference bayesian-var-models copula-path-forecast latent-factor-model variational-bayes dynamic-generalized-linear-models multi-step-ahead-forecasting
Language:Jupyter Notebook 9
Shubham-vish / Recommendation-Engines
# This Repository contains implementation of different Recommendation Engine Algorithms
recommendation-engine collaborative-filtering latent-factor-model apriori-algorithm recommendation-algorithms recommendation-system
Language:Jupyter Notebook 5
yansun1996 / CSE258-Recommender-Systems
Code for UCSD CSE 258 Web Mining and Recommender Systems
linear-regression logistic-regression pca knn latent-factor-model svm-classifier tfidf-text-analysis readability
Language:Jupyter Notebook 5
iamkroot / recommender-systems
Implementation of various recommender systems, for course CS F469 Information Retrieval
recommender-systems collaborative-filtering svd cur-decomposition latent-factor-model
Language:Python 4
srinathsai / Netflix-recommendation-challenge
implemented model and refined with another model which stands 3rd in the contest of 1million$ prize worth, that aims to decrease original rmse by 10 percent with efficient time-complexity.
big-data-analytics latent-factor-model machine-learning netflix-recommendation-system recommender-system user-rating
Language:Jupyter Notebook 3
uds-helms / BEclear
Correction of batch effects in DNA methylation data
batch-effects bioconductor-package dna-methylation latent-factor-model methylation missing-data missing-values rpackage stochastic-gradient-descent
Language:R 3
ChunjingXiao / TwitterPopularity
An implementation for our paper: Time sensitivity-based popularity prediction for online promotion on Twitter (Information Sciences, 2020). This is an extended Latent Factor Model that can predict popularity values of tweets on Twitter when they are published at various times. The data includes Twitter user profiles and tweet information (tweetID, Text, published time, userID, retweetNumber).
popularity-prediction twitter latent-factor-model lfm online-promotion
Language:Python 2
DanielMorales9 / tfdiv
A Tensorflow implementation of Factorization Machines
diversity factorization-machines recommender-system latent-factor-model
Language:Python 2
mohamedmansoura / Recommender-system-with-Netflix-database
Recommender system with Netflix database using matrix factorization
matrix-factorization recommender-system recommendation-engine recommendation-system recommendation-algorithms surprise-python collaborative-filtering user-item-utility-matrix netflix netflix-prize rating-prediction svd-matrix-factorisation latent-factor-model
Language:Jupyter Notebook 2
c3duan / Steam-Engagement-Predictor
Recommender System wrapped with a Binary Classifier
bpr latent-factor-model collaborative-filtering t-sne pca map-reduce recommender-system steam steam-games bayesian-personalized-ranking
Language:Jupyter Notebook 1
gtikhonov / HMSC-Matlab-BigSpatial
jsdm gaussian-processes latent-factor-model species-distribution-modeling ecology
Language:MATLAB 1
Ninhnon / MovieRecommend
A movie recommend app using React-native and integrated AI recommender system: LFCF-DL and Content-Based Filtering.
ai content-based-recommendation docker flask latent-factor-model microsoft-azure movielens react-native recommender-system
Language:JavaScript 1
uds-helms / BEclear-CL
Correction of batch effects with BEclear as a command line tool
command-line-tool missing-values missing-data batch-effects methylation latent-factor-model stochastic-gradient-descent
Language:R 1
chowfi / Music-Recommender-System
A collaborative-filter-based music recommender machine
alternating-least-squares cold-start-problem data-preprocessing high-performance-computing latent-factor-model lightfm recommender-system spark baseline-popularity-model training-validation-split
Language:Python 0
harryyizihan / predict_champions
League of Legends Champion Recommender System
data-mining latent-factor-model jaccard-similarity pearson-correlation cosine-similarity recommender-system
Language:Jupyter Notebook 0
MatiasFlores96 / tesis_sistemas_de_recomendacion
Programas en proceso de desarrollo de mi tesis basada en sistemas de recomendacion, collaborative filtering por ahora, falta agregar content based. De collaborative filtering tanto memory based como model based.
latent-factor-model recommender-system collaborative-filtering python svd-matrix-factorisation probabilistic-matrix-factorization non-negative-matrix-factorization knn
Language:Jupyter Notebook 0
Qian-Li / HFM
Rcpp Package implements Hierarchical Functional Models
rcpp rcpparmadillo functional-data-analysis latent-factor-model bayesian-nonparametric-models
Language:C++ 0
ashwinkumarraja / Testing-different-Recommender-Systems
information retrieval recommender svd cur baseline collaborative-filtering latent-factor-model information-retrieval
Language:Python
obadakhalili / recommender-system
Practicing traditional filtering approaches for recommender systems on Kaggle expedia-hotel-recommendations problem | University Project
collaborative-filtering content-based-recommendation latent-factor-model recommender-system
Language:Jupyter Notebook
Raghu150999 / recommender-system
Implementing different approaches for recommendation systems
svd recommender-system latent-factor-model collaborative-filtering cur-decomposition
Language:Python
RikilG / Recommender_Systems
Recommender System to predict movie ratings
svd latent-factor-model collaborative-filtering
Language:Python
SamanKhamesian / Rating-Prediction-System
This project is an implementation of simple rating prediction systems for items from user
rating-prediction machine-learning pattern-recognition python numpy latent-factor-model
Language:Python
Sarvesh1814 / Recommendation_System
Recommendation Systems with mathematical modelling
collaborative-filtering content-based-recommendation conversational-recommender-system hybrid-recommender-system latent-factor-model baseline-recommendation
Language:Jupyter Notebook
zweedao / TV-Show-Recommender
Engine to recommend the best TV shows for users, using Collaborative Filtering and Latent Factor Model
collaborative-filtering latent-factor-model recommender-system singular-value-decomposition
Language:Python

latent-factor-model

BIMSBbioinfo / maui

safreita1 / Recommender-System

belg92 / HMSC

kdevo / chaos-rrs

bhaskar6f1 / Latent-Factor-Model-for-rating-prediction

xxl4tomxu98 / econometrics-gdp-dpi-VAR

Shubham-vish / Recommendation-Engines

yansun1996 / CSE258-Recommender-Systems

iamkroot / recommender-systems

srinathsai / Netflix-recommendation-challenge

uds-helms / BEclear

ChunjingXiao / TwitterPopularity

DanielMorales9 / tfdiv

mohamedmansoura / Recommender-system-with-Netflix-database

c3duan / Steam-Engagement-Predictor

gtikhonov / HMSC-Matlab-BigSpatial

Ninhnon / MovieRecommend

uds-helms / BEclear-CL

chowfi / Music-Recommender-System

harryyizihan / predict_champions

MatiasFlores96 / tesis_sistemas_de_recomendacion

Qian-Li / HFM

ashwinkumarraja / Testing-different-Recommender-Systems

obadakhalili / recommender-system

Raghu150999 / recommender-system

RikilG / Recommender_Systems

SamanKhamesian / Rating-Prediction-System

Sarvesh1814 / Recommendation_System

zweedao / TV-Show-Recommender