Deep Learning with Yacine on MSN

Muon Optimizer for Dense Linear Layers – Newton-Schulz Method with Momentum Explained

Dive deep into the Muon Optimizer and learn how it enhances dense linear layers using the Newton-Schulz method combined with ...
IEEE

A novel fractional order implicit dynamics method for solving time-varying linear matrix equation

Abstract: In this paper, fractional order implicit dynamics (FOID) is first proposed and investigated for solving time-varying linear matrix equation $A(t) X(t) B(t ...
IEEE

Quantization improvements for LU Decomposition to Solve Linear Equations

Abstract: Quantization is an effective method for compressing Deep Neural Networks. Now, it is considered to accelerate the traditional HPC applications. In this article, we present a quantization ...
GitHub

zwicker-group/py-pde

py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...
Monash University

Solving linear equations and inequalities

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...