math, linear algebra, matrix and other helpers
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Updated
Jun 4, 2024 - TypeScript
math, linear algebra, matrix and other helpers
R package implementing Bayesian NMF using various models and prior structures.
LAPACK development repository
recommender system tutorial with Python
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
Modularized Fortran LAPACK implementation
A library for butterfly and hierarchical matrix factorizations.
Recommendation System Based on Collaborative Filtering
Non-Negative Matrix Tri-Factorization for Co-clustering
This study aims to investigate the effectiveness of three Transformers (BERT, RoBERTa, XLNet) in handling data sparsity and cold start problems in the recommender system. We present a Transformer-based hybrid recommender system that predicts missing ratings and ex- tracts semantic embeddings from user reviews to mitigate the issues.
Movie Recommendation System created using Collaborative Filtering (Website) and Content based Filtering (Jupyter Notebook)
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Block Linear Algebra Algorithms in Matlab
This website applies a recommendation system and continuous learning.
R Package: Regularized Principal Component Analysis for Spatial Data
A Comparative Framework for Multimodal Recommender Systems
A Python 3 toolbox for neural receptive field estimation using splines and Gaussian priors.
A recommender system built from scratch using the collaboration filtering algorithm and NumPy library
MADS: Model Analysis & Decision Support
A Python implementation of LightFM, a hybrid recommendation algorithm.
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