AIxDESIGN Bookmark Library

Curated list of awesome GAN applications and demo. Contribute to nashory/gans-awesome-applications development by creating an account on GitHub.

You’ll find a number of datasets to train your models

Demos and explanations to make art using machine learning.

by Nono Martínez Alonso

In 2019 The Photographers' Gallery digital programme launched 'Data / Set / Match', a year-long programme that explores new ways to present, visualise and interrogate contemporary image datasets. This introductory essay presents some key concepts and questions that make the computer vision dataset an object of concern for artists, photographers, thinkers and photographic institutions.

Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. We're showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments.

How I created an entire short movie using ML models only (and you can do it as well).

I created a film that was made up entirely of machine learned elements: machine learned sets, characters and textures.

Contribute to google/deepdream development by creating an account on GitHub.

Can you spot the DeepFake? Detect Fakes challenges you to discern AI-manipulated videos from real videos. Can you do better than an algorithm?

Artificial intelligence turning your photos into art

ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.

Moving from performance metrics to performance arts is what enables my work to travel from the head to the heart.