Welcome to the world of DELTA, an impressive end-to-end natural language and speech processing platform that leverages the robust power of deep learning! In this guide, we will walk you through the steps to install and quickly start using DELTA while providing...
If you are looking to explore the fascinating world of 3D face alignment, you've landed in the right place! This blog post will guide you through the process of setting up and using the "3DDFA" (3D Dense Face Alignment) library. We will also discuss some common...
In the evolving world of technology, ensuring that textual data maintains its originality and authenticity is of utmost importance. This blog article will guide you through the process of building a RESTful API that performs similarity checks on documents using...
In the realm of machine learning, managing experiments can become a cumbersome task, involving tracking various parameters, configurations, and reproducibility of results. Enter Sacred - a powerful tool designed to alleviate these burdens. This guide will walk you...
Welcome to the world of seamless data visualization with AutoViz! This powerful library allows you to visualize any dataset, regardless of its size, with just a single line of code. In addition, it offers a handy feature called FixDQ() for quick data quality...
Welcome, tech enthusiasts! Today, we’re diving into the fascinating world of Drain3, an online log template miner that extracts log templates from streams of log messages in real-time. Imagine it as your very own digital detective, sifting through a chaotic pile of...
Welcome to the exciting world of Siamese and triplet networks! These powerful neural architectures are designed for learning embeddings — a way of transforming images into a compact Euclidean space where distances reflect similarity. By the end of this guide, you’ll...
Welcome to the exciting world of train tracking! In this blog, we’ll explore how to deploy and utilize a project called OnlyTrains, which serves the purpose of watching a piece of train track, detecting passing trains, and stitching together images of them. With this...
Welcome to our guide on implementing the SFCN+ model from the paper "Learning from Synthetic Data for Crowd Counting in the Wild." This article will walk you through the requirements, data preparation, model training, and testing procedures, all while keeping things...
