In the field of additive manufacturing (AM), cellular automata (CA) is extensively used to simulate microstructural evolution during solidification. However, while traditional CA approaches are ...
OMP4Py is a Python library that provides an implementation of OpenMP, which is widely recognized as the standard programming model for exploiting multithreading parallelism in HPC. OMP4Py features a ...
Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
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Deep Learning with Yacine on MSNOpinion

Reduced row echelon form (RREF) in Python – algorithm from scratch

Learn how to implement the Reduced Row Echelon Form (RREF) algorithm from scratch in Python! Step-by-step, we’ll cover the theory, coding process, and practical examples for solving linear systems. #P ...
This package implements python bindings for the ORbit Counting Algorithm. The original source code was modified to avoid memory leaks upon repeated function calls and allow for parallel orbit counting ...
Abstract: SHA-256 is a well-reported algorithm extensively utilized in security applications. This paper presents a high performance hardware implementation of SHA-256 algorithm. The SHA-256 algorithm ...
Abstract: Language networks are crucial in artificial intelligence, with the novel Mamba architecture significantly reducing computations and consumption compared to the traditional transformer ...