Shivansh Puri's starred repositories
whatsagenda-chatbot-for-calendar-configuration-demo
A ChatBot designed to assist WhatsAgenda customers in configuring their calendar. This tool streamlines the setup of scheduling, managing appointments, and customizing service hours, ensuring an efficient and user-friendly experience.
segment-anything-2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Inventory-Management-System
This is a web-based application. HTML, CSS, BOOTSTRAP, JAVASCRIPT, MYSQL, and PHP have been used to develop this inventory management system
Inventory-Management-System-MERN-CRUD-App
Inventory Management System MERN CRUD App (MERN Stack Project). A simple MERN project that lets the user insert, update, delete & get products from the MongoDB.
llamacoder
Open source Claude Artifacts – built with Llama 3.1 405B
gpt-2-colab
retrain gpt-2 in colab
awesome-google-colab
Google Colaboratory Notebooks and Repositories (by @firmai)
NeedhamSchoreder_Automated_Analysis
Theoretical and practical introduction to the Tamarin Prover through a real-world case study on the Needham Schroeder protocol
visioncolab
Google colab's for image processing, pattern recognition and computer vision
visioncolab
Google colab's for image processing, pattern recognition and computer vision
Chat-with-PDF-Chatbot
This Chatbot is an interactive app developed to assist users to interact with their PDF. It is built using Open Source Stack. No OpenAI is required.
django-whatsapp-web-clone
A WhatsApp Web Clone Chat Application for those developers that like to use Django Channel for handling WebSocket request
openaip-openair-parser
OpenAIR format parser. Parses openAIR format and outputs in JSON or GeoJSON format.
clearskies
API that determines if it's safe to fly your drone.
AI-Shorts-Creator
AI-Video-Cropper is a Python-based tool that leverages the power of GPT-4 (OpenAI's language model) to automatically analyze videos, extract the most interesting sections, and crop them for improved viewing experience. This project combines the capabilities of GPT-4, FFmpeg, and OpenCV to automate the process of identifying highlights in videos