Explore live open-source projects and AI models.

You may think that machine learning models can only be trained with supercomputers and big data. This first course shows you how you can train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build ... Read more

Lab solutions for the Machine Learning in JavaScript with TensorFlow.js course

E-Learning Platform using React.js, Node.js and MongoDB along with power of Machine Learning and Natural Language Processing to provide personalized learning experience

A secure healthcare data management system using blockchain and machine learning. Enhances privacy, patient control, and disease prediction. Built with Ethereum, React, Node.js, and Python. Revolutionizes healthcare data management with security, transparency, and efficiency.

This project classifies and detect malicious URLs using Machine Learning in a web application built with Flask and Next.js

Neural Nexus : A comprehensive AI model hub for uploading , sharing, selling, and deploying machine learning models. Features Secure authentication, Stripe/Crypto Payments, model ownership transfer via blockchain, and a vibrant community. Build with Next.js, Tailwind CSS, React, and Framer Motion

Rocus is an intelligent, AI-powered knowledge graph that automatically organizes your saved websites using local machine learning models. Built with Vue.js, D3.js, and WebGPU-accelerated AI, Rocus runs entirely in your browser with no servers, no cloud, complete privacy.

Source code (Python, Node.js and Java) for a demo we built which has been shown at a number of conferences, including IoT Solutions World Congress in Barcelona, Google Cloud Next 2019 and Google I/O 2019. Using the Coral Dev Board we show incredible fast machine learning on the edge with minimal ... Read more

Code example for my talk on Machine Learning with Node.js and PredictionIO at Vienna.js on 30 April 2014.

An AI chatbot built with Nuxt.js and GPT-4. The chatbot uses natural language processing and machine learning to generate human-like responses to user input. It can be customized for different use cases and is accessible through a web interface.