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: Deep Learning aims to achieve high performances at the expense of explainability. Explainable Artificial Intelligence consists of all the methods addressing this problem. These methods do ...

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If you’re the type of golfer who’s always tinkering with your swing — or just looking for drills that help things fall into place — training aids are likely on your radar. The challenge, however, is ...

We use GitHub issues for tracking bugs and feature requests and have limited bandwidth to address them. If you need anything, I ask you to please follow our templates for opening issues or discussions ...

Abstract: For implementation of Low Power VLSI Architectures in the area of Digital Image Processing applications, Matrix Multiplication is a key arithmetic operation. To construct VLSI architectures ...