AI Makerspace: Blueprints for developing machine learning applications with state-of-the-art technologies.
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Updated
May 13, 2024 - JavaScript
AI Makerspace: Blueprints for developing machine learning applications with state-of-the-art technologies.
This is a web application, which is powered by Node.js and Python in the backend to generate artistic images from input images. The algorithm is based on the paper "A Neural Algorithm of Artistic Style" by Leon A. Gatys, Alexander S. Ecker and Matthias Bethge. https://arxiv.org/pdf/1508.06576.pdf
Uses deepai.org API to perform neural style transfer on users content and style images. Users simply register and input an image URL for their chosen photo and their chosen art style. The app returns the newly stylized image.
[Bletcher Project] NST 알고리즘을 이용한 이미지 합성 서버 👩🏻🎨
Web app for investigating image style transfer with VGG19 built as a BSc final year project 2020/2021
This project consists of a web application built with React for the frontend and Flask for the backend. The application allows users to perform neural style transfer on images, where the style of one image is applied to the content of another image to generate visually appealing results.
Implemented neural style transfer using tensor flow and deployed the model using flask.
🚀 Creating Music art covers using AI in NextJS
Server code exposing "neural-style" to the respective app (Neural Art Client) via Firebase
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