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šÆ Iām looking to collaborate on Deep Learning Projects.
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š¬ Researching on Diffusion Models, Image-Text representations
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š« How to reach me [email protected]
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ā” Fun fact I am from the future and I won the Turing Award
Name: Pranav Gupta
Type: User
Bio: Computer Vision, Image Processing, Machine Learning, Reinforcement Learning
Twitter: pranavgupta2603
Location: New Delhi
šÆ Iām looking to collaborate on Deep Learning Projects.
š¬ Researching on Diffusion Models, Image-Text representations
š« How to reach me [email protected]
ā” Fun fact I am from the future and I won the Turing Award
An implemention of CLIP-ViL Gradcam for VQA tasks
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
A simple Event Management app for my DBMS course
Deep Learning Examples
A simple Hangman implementation of words for my Neurofuzzy and Genetic Algorithms course
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.
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.
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.
Next Tech Lab's Website by the team ' sudo-Beholder ' for NTL Hack '2022. š
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.