Surprise
Surprise: A Python library for recommender systems - Published in JOSS (2020)
prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
sorsa
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models
rsparse
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
RSpectra
R Interface to the Spectra Library for Large Scale Eigenvalue and SVD Problems
https://github.com/albertocuadra/inverse_problems
A collection of inverse problems (e.g., reconstruction of databases, algebraic reconstruction, topological derivatives, gravitational prospecting)
mh1ddc
:earth_asia: MH1DDC is inversion software using Levenberg-Marquardt (LM) and Singular Value Decomposition (SVD) of one-dimension DC resistivity in MATLAB.