Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

python-nss-ng is a Python binding for NSS (Network Security Services) and NSPR (Netscape Portable Runtime). NSS provides cryptography services supporting SSL, TLS, PKI, PKIX, X509, PKCS*, etc. NSS is ...

Abstract: Untrained neural network (UNN) has shown promising potential for solving inverse scattering problems (ISPs) with high flexibility and no need of training data. However, iterative ...

Dubbed “Boto-Cor-de-Rosa,” the new campaign includes the addition of a WhatsApp web-based worm that allows the malware to spread itself by using a victim’s WhatsApp contacts versus previous Astaroth ...

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 ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Abstract: Fourier ptychography (FP) is a new computational imaging technique with the advantage of being able to provide super-resolution imaging. FP has a very complex degradation process. Merging ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...