Tensorlab+
A reproducible research repository for tensor computations
Description:
Tensorlab+ is a reproducible research repository for tensor computations, built on top of Tensorlab.
The first release of Tensorlab+ includes the algorithms, auxiliary functions, and data needed to recreate the results of 150+ experiments that are discussed in 34 of our research papers, allowing the reproduction of 180+ figures and tables. Moreover, we have included 32 tutorials and demos showing how the proposed algorithms can be used in your own applications.
More Information:
Originates from the AI-Driven Data Science research challenge (FAIR 2019–2023).
Responsible Research Lead: Lieven De Lathauwer
Authors: S. Hendrikx, M. Boussé, Nico Vervliet, M. Vandecappelle, Robin Kenis, and Lieven De Lathauwer
Programming Language: Matlab
Categories: Optimization, Multi-linear algebra