If you're looking to dive into graph-based natural language processing, especially for tasks like phrase extraction and summarization, then PyTextRank is just the tool you need! This powerful Python library integrates seamlessly with spaCy, making complex NLP tasks...
The world of data extraction can sometimes feel like navigating a labyrinth without a map. Luckily, the Quantulum3 library offers a brilliant way to extract quantities, measurements, and units from unstructured text, helping you find your way through the complex maze...
In the world of video enhancement, TecoGAN stands tall as a model that not only improves resolution but also preserves temporal coherence. If you want to harness the power of this technology using PyTorch, you’ve come to the right place! Below, we'll guide you through...
Welcome to the world of the Open Neural Network Exchange (ONNX) Model Zoo, where machine learning meets versatility! This repository hosts a dazzling collection of pre-trained models across various domains, empowering developers to leverage cutting-edge AI solutions...
If you're diving into the world of geology and need a dependable tool to analyze lithology and stratigraphic logs for wells and outcrop, you've stumbled upon the right guide! In this article, we'll help you through the process of installing and utilizing Striplog...
Welcome to the intriguing world of AlgoWiki, a visionary project aimed at gathering vast strands of knowledge scattered across the internet into a single, easily accessible repository. This article will guide you through creating and contributing to this repository...
Introduction Welcome to the Meal Analysis with Theseus project – an innovative way to recognize and analyze various food items using sophisticated algorithms. In this guide, you'll learn how to set up the application, analyze meals, and troubleshoot potential issues....
Understanding and predicting navigable spaces from a single RGB image has been a daunting challenge in computer vision. The breakthrough method known as Footprints, introduced by Jamie Watson and his colleagues, promises greater efficiency in visual rendering and...
Rigorous Uncertainty Quantification for Any Machine Learning Task This repository is the easiest way to start using conformal prediction (a.k.a. conformal inference) on real data. Each of the code notebooks applies conformal prediction to a real prediction problem...
