Updated 6 months ago
t-elf
Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.
blind-source-separation
dimensionality-reduction
feature-extraction
gpu
high-performance-computing
hpc
latent-variables
machine-learning
matrix
matrix-completion
matrix-factorization
non-negative-matrix-factorization
pattern-extraction
semi-supervised-learning
tensor-decomposition
tensor-factorization
tensors
text-preprocessing
unsupervised-learning
Updated 6 months ago
rsparse
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Updated 6 months ago
lightweight-mcnnm
Lightweight Implementation of the Matrix Completion Estimator for Panel Data presented by Athey et al. (2021)