Abstract: The branch of mathematics known as “linear algebra” deals with vectors, matrices, and linear transformations. It is useful in a variety of disciplines, including computer science, physics, ...

Pure Python: We will use nested lists to represent and operate with vectors and matrices. NumPy: You will learn to work with arrays, which facilitates many operations and optimizes performance. By the ...

Trying to get your hands on the “Python Crash Course Free PDF” without breaking any rules? You’re not alone—lots of folks are looking for a legit way to ...

Numerical linear algebra for quaternions — fast, practical, and well‑tested. QuatIca was inspired by the pioneering work in quaternion linear algebra, particularly the QTFM (Quaternion Toolbox for ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

Attention-based architectures are a powerful force in modern AI. In particular, the emergence of in-context learning abilities enables task generalization far beyond the original next-token prediction ...

This paper introduces the first release of Pytearcat, a Python package developed to compute tensor algebra operations in the context of theoretical physics, for instance, in general relativity. Given ...