MADS: Model Analysis & Decision Support
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Updated
Jul 16, 2024 - HTML
MADS: Model Analysis & Decision Support
Deep exponential families for single-cell data.
Fast linear algebra library for Java.
R package implementing Bayesian NMF using various models and prior structures.
Non-Negative Matrix Tri-Factorization for Co-clustering
A tensor decomposition library for Common Lisp which support sparse tensor.
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
A library for butterfly and hierarchical matrix factorizations.
SuiteSparse: a suite of sparse matrix packages by @DrTimothyAldenDavis et al. with native CMake support
LAPACK development repository
Non negative matrix factorization for Oligo lineage scRNAseq data
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Modularized Fortran LAPACK implementation
math, linear algebra, matrix and other helpers
This is a simple console-based calculator program written in C++ that offers four main functionalities: Synthetic Division Matrix Solution using Gauss-Jordan Elimination Matrix Addition Matrix Multiplication
Group Recommendation Systems with Diversity-based Clustering and Game Theory
🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
Matrix Factorization Recommender System: A scalable, cloud-based implementation using MongoDB, BigQuery, and Google Vertex AI for data processing, model training, and deployment.
A Comparative Framework for Multimodal Recommender Systems
Bayesian Factorization with Side Information in C++ with Python wrapper
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