Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
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latent-factor-model
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Anime recommender system using collaborative filtering and latent factor model
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Multivariate time series Vector Autoregression Model (VAR) on real world GDP and DPI (and some other indexes). Bayesian Structured Time Series (BSTS).
python bayesian-inference forecasting-models time-series-analysis variational-bayes latent-factor-model multi-step-ahead-forecasting dynamic-generalized-linear-models statmodels econometric-analysis vector-autoregression-models bayesian-var-models copula-path-forecast
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Chaos - a first of its kind framework for researching Reciprocal Recommender Systems (RRS).
framework research master-thesis chaos embeddings collaborative-filtering recommender-system recommender-systems rrs user-to-user latent-factor-model reciprocal reciprocal-recommender-system human-to-human reciprocal-lfm
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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.
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Google Local Rating Prediction using Latent Factor Model. Recommender System - CSE 258 Assignment 1
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# This Repository contains implementation of different Recommendation Engine Algorithms
collaborative-filtering recommendation-system recommendation-engine recommendation-algorithms apriori-algorithm latent-factor-model
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Code for UCSD CSE 258 Web Mining and Recommender Systems
linear-regression pca readability logistic-regression knn svm-classifier latent-factor-model tfidf-text-analysis
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Correction of batch effects in DNA methylation data
methylation missing-data dna-methylation stochastic-gradient-descent batch-effects rpackage bioconductor-package missing-values latent-factor-model
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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.
machine-learning recommender-system user-rating big-data-analytics latent-factor-model netflix-recommendation-system
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IJRR 2026 | Situationally-Aware Dynamics Learning | Online and Unsupervised Latent Factor Representation Learning for Robot Dynamics Learning.
reinforcement-learning representation-learning unsupervised-learning online-learning hidden-states model-based-reinforcement-learning latent-factor-model
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Implementation of various recommender systems, for course CS F469 Information Retrieval
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A Tensorflow implementation of Factorization Machines
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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 (tweetI…
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A movie recommend app using React-native and integrated AI recommender system: LFCF-DL and Content-Based Filtering.
docker flask react-native ai recommender-system movielens microsoft-azure content-based-recommendation latent-factor-model
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Recommender system with Netflix database using matrix factorization
collaborative-filtering matrix-factorization netflix recommendation-system recommendation-engine recommender-system recommendation-algorithms rating-prediction surprise-python netflix-prize user-item-utility-matrix latent-factor-model svd-matrix-factorisation
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This R package provides all algorithms discussed in the paper “Causal Inference for Latent Outcomes Learned with Factor Models”.
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Recommender System wrapped with a Binary Classifier
steam steam-games map-reduce collaborative-filtering bpr pca recommender-system t-sne bayesian-personalized-ranking latent-factor-model
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Implementing different approaches for recommendation systems
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- Python
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