This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
Abstract: Under the background of multi-channel and multi-network interwoven transmission, a large amount of information has been realized about long-distance transmission across the region and over ...
ABSTRACT: The purpose of this paper is to introduce a new pivot rule of the simplex algorithm. The simplex algorithm first presented by George B. Dantzig, is a widely used method for solving a linear ...
Abstract: To build Neural Networks (NNs) on edge devices, Binarized Neural Network (BNN) has been proposed on the software side, while Computing-in-Memory (CiM) architecture has been proposed on the ...
This simple but powerful trick can completely change how you approach problems, saving time and reducing confusion. Learn the clear method behind it, why it works so well, and how to apply it across ...
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