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...
Deep Reinforcement Learning for Mobile Robot Navigation in ROS Gazebo Simulator
Welcome to the fascinating world of robotics, where deep reinforcement learning (DRL) empowers robots to navigate complex environments! In this blog post, we will explore how a mobile robot uses the Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network...
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 Get Started with Sightseer: Your Gateway to Advanced Computer Vision
If you're venturing into the world of computer vision and object detection, you're in for an exciting ride! Sightseer, a powerful toolkit crafted by Rishabh Anand, offers state-of-the-art architectures and pretrained models to make your computer vision tasks a breeze....
How to Get Started with the Bosch Small Traffic Lights Dataset
The Bosch Small Traffic Lights Dataset (BSTLD) is a treasure trove for anyone delving into the realm of traffic light detection and classification using machine learning. In this guide, we’ll explore the steps to efficiently utilize this dataset, from downloading it...
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
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
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!...
How to Set Up and Use mGPT: A Multilingual Generative Pretrained Transformer
Welcome to the exciting world of mGPT—an advanced multilingual variant of GPT-3! This guide will walk you through the setup, provide insights on the pretraining process, and demonstrate how to use mGPT effectively for generating text across several languages. With...









