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Hi šŸ‘‹, I'm Pranav Gupta

  • šŸ‘Æ Iā€™m looking to collaborate on Deep Learning Projects.

  • šŸ’¬ Researching on Diffusion Models, Image-Text representations

  • šŸ“« How to reach me [email protected]

  • āš” Fun fact I am from the future and I won the Turing Award

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pranavgupta2603

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Pranav Gupta's Projects

covid-spread-simulation icon covid-spread-simulation

Official Implementation of the simulation of the paper: Managing Congregations of People by Predicting Likelihood of a Person being Infected by a Contagious Disease like the COVID Virus

hangman-neurofuzzy icon hangman-neurofuzzy

A simple Hangman implementation of words for my Neurofuzzy and Genetic Algorithms course

kan-distillation icon kan-distillation

An implementation of the KAN architecture using learnable activation functions for knowledge distillation on the MNIST handwritten digits dataset. The project demonstrates distilling a three-layer teacher KAN model into a more compact two-layer student model, comparing the performance impacts of distillation versus non-distilled models.

markovchaintextgenerationquestion icon markovchaintextgenerationquestion

This repository contains resources and templates for learning and implementing Markov Chains, specifically applied to text generation. It includes a Python class template for a basic Markov Chain model, a sample training text, and additional documentation explaining the concept of Markov Chains and their application in text generation.

montygame icon montygame

This repository features a Python-based simulation of the Monty Hall problem, a classic probability puzzle game. Players choose from three doors to find a prize hidden behind one, with the host revealing empty options along the way. The code is open for cloning, running, and contributing improvements.

ntl-website icon ntl-website

Next Tech Lab's Website by the team ' sudo-Beholder ' for NTL Hack '2022. šŸ™‚

openai-assistants-template icon openai-assistants-template

Build and deploy AI-driven assistants with our OpenAI Assistants Template. This tutorial provides a hands-on approach to using OpenAI's Assistant API, complete with code modules, interactive Jupyter Notebook examples, and best practices to get you started on creating intelligent conversational agents.

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