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 ...

In a quiet corner of an ancient riverbed on Mars, a speckled rock has pushed the search for extraterrestrial life into its ...

Simple example to load the entire text of a document into a vector store and then expose an API through which questions can be asked about the document's content. IMPORTANT: This project has been ...

Abstract: In this paper, we analyze the effects of random sampling on adaptive diffusion networks. These networks consist in a collection of nodes that can measure and process data, and that can ...

Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.

Abstract: Currently, deep neural networks (DNNs) are susceptible to adversarial attacks, particularly when the network's structure and parameters are known, while most of the existing attacks do not ...