Gaurav Verma's Projects
A reinforcement learning model, training a snake AI game in pygame environment
AI-Generated Images and Video sharing app made using react-native
A Fully responsive webpage created using nextJs and react and tailwind css
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Handwritter digit classification using keras and object classification using keras
A Deep Learning based project for colorizing and restoring old images (and video!)
A handful set of scripts and processes to create any object detection model using Detectron_2
An image classification model which can classify images of flowers and show more images of the same category, the entire model runs on TPU and hence is very fast and optimized.
A food classifier model that can classify 101 different food items.
The Landing Page of Fylo developed using tailwind css
12 Lessons, Get Started Building with Generative AI π https://microsoft.github.io/generative-ai-for-beginners/
A Heart Disease Classification ML model build using basis python machine learning libraries.
A simple and clean landing page for Huddle created using tailwing.
Landmine Detection using Yolov8
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A site which notifies about the lowest price drop on Amazon
Some useful python scripts such for creating data loaders inititalizing models and so on...
I have created a simple QR-Code component using tailwind css and html.
A RAG pipeline model which takes any pdf as input and provide the context of your question from the pdf to the LLM
A collection of scraper using different techniques to scrape data out of websites
An AI powered platform to generate and edit images
Step by Step implementation of "Attention is All You Need" paper using PyTorch
A bunch of useful scripts and processes listed to prepare any object detection model using Yolo
Search and explore your favorite TV shows with this interactive web application. Enter the show title and instantly access a collection of images related to the show. Built using HTML, CSS, JavaScript, and Axios framework. Enjoy browsing TV show images effortlessly!