COLMAP is a powerful tool designed for image reconstruction using Structure-from-Motion (SfM) and Multi-View Stereo (MVS) techniques. This guide will walk you through how to use COLMAP efficiently, from downloading the software to troubleshooting common issues! What...
Statistics and Probability in Python: Your Guide to Mastery
Welcome to the ultimate guide on leveraging Python for statistics and probability! This repository is packed with resources and chapters designed to take your statistical knowledge to new heights. Whether you're a beginner wanting to grasp the basics or a seasoned pro...
How to Use DataPrep for Efficient Data Preparation
Data science often feels like piecing together a jigsaw puzzle. Each piece of data holds a clue but can be chaotic when it comes from various sources. Fear not, for DataPrep is here to simplify your data preparation journey. Follow this guide to harness the power of...
How to Use the AI-Driven Construction Safety Tool
Welcome to the ultimate guide on the AI-driven tool designed to enhance safety on construction sites! Utilizing the powerful YOLOv8 model for object detection, this system identifies potential hazards, ensuring that construction sites remain safe for workers. Below,...
How to Use Torchattacks for Adversarial Attacks with PyTorch
Are you ready to delve into the intriguing world of adversarial attacks using the Torchattacks library? Today, we're going to guide you step-by-step on how to implement various adversarial attacks using PyTorch. This user-friendly guide will not only walk you through...
How to Get Started with WinkNLP: A Developer-Friendly Natural Language Processing Library
WinkNLP is an easy-to-use JavaScript library designed to facilitate natural language processing (NLP) projects. This guide provides a comprehensive overview of how to install, set up, and use WinkNLP effectively, allowing you to build amazing NLP applications with...
Implementing HardNet Model in PyTorch: A Comprehensive Guide
Welcome to our guide on implementing the HardNet model in PyTorch, as showcased in the NIPS 2017 paper titled Working Hard to Know Your Neighbors Margins: Local Descriptor Learning Loss. This article will walk you through the necessary steps to compile HardNet,...
Getting Started with scikit-fda: Functional Data Analysis in Python
Welcome to the world of Functional Data Analysis (FDA) in Python! The scikit-fda package equips you with tools to handle data dependent on continuous parameters, unlocking new horizons for your analytical exploits. What is scikit-fda? Functional Data Analysis is a...
How to Implement LLM (LangServe) with RAG
Are you ready to dive into the fascinating world of Language Learning Models (LLM) with LangServe and Retrieval-Augmented Generation (RAG)? This guide will walk you through the steps needed for a basic setup, while putting an emphasis on application and ease of use....