Data Science
Exploring the “A Paper a Week” Initiative

Exploring the “A Paper a Week” Initiative

Welcome to the world of AI research! This article serves as a comprehensive guide for anyone interested in diving into the "A Paper a Week" initiative. This repository is designed to encapsulate diverse AI papers, along with their summaries and insights. Ready to...

How to Conduct Sentiment Analysis on Tweets

Sentiment analysis on tweets can transform raw tweets into valuable insights that gauge public opinion. This article will guide you through the process of conducting sentiment analysis on tweets using a structured setup, along with troubleshooting advice to keep your...

How to Use the BBox Visualizer for Object Labeling

How to Use the BBox Visualizer for Object Labeling

Are you tired of manually calculating the coordinates for bounding boxes around objects? Say hello to BBox Visualizer! This handy Python package allows users to effortlessly draw bounding boxes around objects in images while providing multiple visualization options....

How to Get Started with Awesome Active Learning

How to Get Started with Awesome Active Learning

Welcome, data enthusiasts! If you're excited about exploring the fascinating world of active learning, you're in the right place. This blog post will guide you through understanding the basics of active learning, how to implement it with ease, and some troubleshooting...

How to Transition from GGML to GGUF: A Step-by-Step Guide

How to Transition from GGML to GGUF: A Step-by-Step Guide

With the recent advancements in AI technology, the llama.cpp team has introduced GGUF as a new and improved alternative to the previously used GGML. This blog will guide you step-by-step on transitioning to GGUF, ensuring your projects stay up-to-date and efficient....