If you've ever wished for a magical assistant that could read documents and extract key information effortlessly, welcome to the world of CUTIE! This innovative approach utilizes Convolutional Universal Text Information Extractor techniques to recognize and classify...
Data Science
How to Explore Awesome Game Datasets
Are you fascinated by the world of gaming and the endless possibilities that data can unlock? If so, you're in the right place! Here, we'll delve into the Amazing Game Datasets repository—a treasure trove for anyone interested in artificial intelligence (AI) and data...
How to Get Started with Chazutsu: The NLP Dataset Downloader
Welcome to the world of Chazutsu, the ultimate dataset downloader tailored for Natural Language Processing (NLP). If you're eager to work with various datasets easily and efficiently, you’re in the right place. Let's dive in! Step 1: Installation First things first,...
How to Use the Good Robot! Framework for Robot Learning
In the realm of artificial intelligence and robotics, “Good Robot!” emerges as a pioneering framework, utilizing Reinforcement Learning (RL) for teaching robots complex multi-step tasks. If you're ready to dive into the exciting world of robot training, this guide...
A Unified Toolkit for Deep Learning Based Document Image Analysis
What is LayoutParser? LayoutParser is a powerful toolkit designed to streamline Document Image Analysis (DIA). This unified platform offers a rich repository of deep learning models and APIs that simplify the task of analyzing document layouts. Whether you're trying...
Getting Started with Dojo: A Differentiable Physics Engine for Robotics
Welcome to our comprehensive guide on how to utilize Dojo, a state-of-the-art differentiable physics engine specifically designed for robotics. It’s a fascinating tool that allows for simulation, learning, and control within various robotic applications, making it...
How to Implement Grid-GCN for Fast and Scalable Point Cloud Learning
Welcome to the world of point cloud learning! In this article, we will explore the grid-based Graph Convolutional Network (Grid-GCN) developed for efficiently handling point cloud data. Our focus will be on implementation guidelines specifically using MXNET version...
How to Work with Deep Complex Networks
Welcome to the world of Deep Complex Networks! This guide will help you set up your environment and run experiments as outlined in the groundbreaking paper Deep Complex Networks. Whether your interest lies in computer vision or music applications, we have your back!...
How to Collect and Utilize COVID-19 Imaging Data for AI Development
The ongoing COVID-19 pandemic has necessitated a comprehensive approach to improve prognostic predictions and manage patient care effectively. One such approach involves the collection and utilization of chest X-ray and CT imaging data. This article will guide you...
