Linear algebra is the foundation of science and engineering. Knowledge of linear algebra is a prerequisite for studying statistics, machine learning, computer graphics, signal processing, chemistry, ...

Dimensionality reduction is a popular approach to tackle high-dimensional data with low-dimensional nature. Subspace Restricted Isometry Property, a newly-proposed concept, has proved to be a useful ...

Source code for paper "Zeroth-Order Fine-Tuning of LLMs in Random Subspaces" This is the implementation for the paper Zeroth-Order Fine-Tuning of LLMs in Random Subspaces. In this paper, we propose ...