Welcome to your first deep dive into cutting-edge image processing! In this blog, we'll explore how to implement the Scale-Recurrent Network (SRN) for Deep Image Deblurring, a powerful method developed by Xin Tao and his team. Aimed to restore sharpness to blurry...

If you're looking to enhance your skills in R programming, data science, or Git/GitHub, you've come to the right place! This guide is designed to help you navigate the Teaching Material repository, an aggregator for various educational resources primarily used at the...

Welcome to the world of DanceNet! In this blog post, we will take you through a user-friendly guide on how to set up and run DanceNet, a dance generator powered by advanced machine learning techniques like Variational Autoencoders, Long Short-Term Memory networks, and...

Welcome to our user-friendly guide on how to set up and use the Page to PAGE Layout Analysis (P2PaLA) toolkit. Although P2PaLA is now deprecated, it serves as a significant stepping stone in document layout analysis using neural networks. In this blog, we will walk...

The world of computer vision is fascinating, especially when it comes to creating simulations that help us grasp intricate concepts like camera projection. Enter the VirtualCam—a virtual camera created exclusively with OpenCV and Numpy. This blog will guide you...

WikiSQL is a powerful dataset designed to establish natural language interfaces for relational databases. It serves as a bridge between unstructured natural language queries and structured SQL queries, making it an essential tool for anyone interested in AI...

In the world of computer vision, super-resolution is like giving your low-resolution images glasses to see clearly. Imagine transforming a pixelated memory into a vivid photograph! In this guide, we will explore how to implement an unofficial PyTorch version of...