Differentiable matrix factorizations using ImplicitDifferentiation.jl.

Column and row updates to "Q-less" QR decomposition, including stable least-squares solves

This package contains a data structure that wraps a matrix of matrices or factorizations and acts like the matrix resulting from concatenating the input matrices without allocating further memory.

Geostatistical Inversion

A little Julia module to allow factorization and backslash to work with hyperdual-valued arrays and sparse arrays.

This package contains implementations of efficient representations and updating algorithms for Cholesky factorizations.

An active set solver for general (definite/indefinite) dense Quadratic Programs

Contains implementations of efficient representations of and updating algorithms for QR factorizations.

Study of the basins of attractions of the Hopfield Model and some experiments about the Matrix Factorization problem

A Julia implementation of three different recommender systems based on the concept of Neural Collaborative Filtering.

Provides an implementation of lazily represented Kronecker products with efficient in-place multiplies and solves.

A general-purpose, extensible Julia package for GPU-accelerated matrix factorization

Matrix factorization using alternating least squares for movie recommendation

Load Tensor Decompositions results

A matrix factorization model for multi-omic data and biological pathways

Modeling and prediction for sports brackets

Matrix factorization for data with very few observations

Contains an implementation of lazily represented matrix structures that allow for the application of the Woodbury Identity.