Abstract: Green synthesis of nanoparticles (NPs) has gained significant attention due to its environmentally friendly approach and potential biomedical applications. This study focuses on the ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Google Colab, also known as Colaboratory, is a free online tool from Google that lets you write and run Python code directly in your browser. It works like Jupyter Notebook but without the hassle of ...

Windows Task Manager keeps a tight check on applications, processes, and services running on your PC. If any of them is causing a slowdown, it lets you close or end that process. If the Task Manager ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

This project implements a Keyword Driven Testing Framework using Python and Selenium. It allows you to define test cases in a YAML file and execute them using a Selenium-based automation script. The ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Everything on a computer is at its core a binary number, since computers do everything with bits that represent 0 and 1. In order to have a file that is "plain text", so human readable with minimal ...

The widespread adoption of AI is creating a paradigm shift in the software engineering world. Python has quickly become the programming language of choice for AI development due to its usability, ...