Data Science
How to Navigate the LLMSurvey: Your Ultimate Guide

How to Navigate the LLMSurvey: Your Ultimate Guide

The realm of Large Language Models (LLMs) has expanded rapidly, with vast amounts of information and resources available to those who wish to explore it. The LLMSurvey provides a well-organized collection of papers, resources, and insights into this fascinating...

Awesome Vision-Language Models

Awesome Vision-Language Models

Welcome to the captivating world of Vision-Language Models (VLMs)! This blog serves as a guide to understanding and leveraging VLMs for various visual recognition tasks ranging from image classification to object detection. Get ready to dive into the insightful realms...

How to Train and Test a SRGAN Model with PyTorch

How to Train and Test a SRGAN Model with PyTorch

Welcome to this user-friendly guide on how to set up and operate a Super Resolution Generative Adversarial Network (SRGAN) using PyTorch! SRGAN is a powerful technique that improves the resolution of images, making them look crispier and richer in detail. In this...

How to Score 0.8134 in the Titanic Kaggle Challenge

How to Score 0.8134 in the Titanic Kaggle Challenge

The Titanic challenge on Kaggle isn't just a competition; it’s a gateway to understanding data science fundamentals. The goal? Predict whether a passenger survived or not based on various attributes. Having flirted with this dataset, I recently achieved an impressive...

How to Use CrossViT for Image Classification

How to Use CrossViT for Image Classification

Welcome to your guide on utilizing CrossViT: the Cross-Attention Multi-Scale Vision Transformer designed for image classification tasks. Here, we'll walk you through the installation, data preparation, training, and evaluation phases. Ready? Let’s get started!...