GitHub topics: latent-factor-model

Repositories

BIMSBbioinfo/maui

Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit

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uds-helms/BEclear

Correction of batch effects in DNA methylation data

Language: R - Size: 1.07 MB - Last synced at: 6 days ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

kdevo/chaos-rrs

Chaos - a first of its kind framework for researching Reciprocal Recommender Systems (RRS).

Language: Python - Size: 1.79 MB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 1

obadakhalili/recommender-system

Practicing traditional filtering approaches for recommender systems on Kaggle expedia-hotel-recommendations problem | University Project

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

Google Local Rating Prediction using Latent Factor Model. Recommender System - CSE 258 Assignment 1

Language: Python - Size: 1.95 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 8 - Forks: 1

harryyizihan/predict_champions

League of Legends Champion Recommender System

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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).

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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.

Language: R - Size: 260 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 9 - Forks: 4

Qian-Li/HFM

Rcpp Package implements Hierarchical Functional Models

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gtikhonov/HMSC-Matlab-BigSpatial

Language: MATLAB - Size: 2.11 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 2

Shubham-vish/Recommendation-Engines

# This Repository contains implementation of different Recommendation Engine Algorithms

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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.

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Sarvesh1814/Recommendation_System

Recommendation Systems with mathematical modelling

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uds-helms/BEclear-CL

Correction of batch effects with BEclear as a command line tool

Language: R - Size: 802 KB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

iamkroot/recommender-systems 📦

Implementation of various recommender systems, for course CS F469 Information Retrieval

Language: Python - Size: 407 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

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.

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safreita1/Recommender-System

Anime recommender system using collaborative filtering and latent factor model

Language: Python - Size: 326 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 23 - Forks: 7

yansun1996/CSE258-Recommender-Systems

Code for UCSD CSE 258 Web Mining and Recommender Systems

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zweedao/TV-Show-Recommender

Engine to recommend the best TV shows for users, using Collaborative Filtering and Latent Factor Model

Language: Python - Size: 1.04 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

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).

Language: Python - Size: 12.4 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1