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Visualizing high dimensional space – visualize how machine learning works. Also see Feature Visualization by Distill. What neural networks see – visualization of layers in a neural network by Gene Kogan. Teaching Machine to Paint, Write & Play – The definitive book on using GANs for artistic output.Īctivation Atlases – create an explorable atlas of features a network has learned. GANS Awesome Applications – Curated list of GANs and demos. GAN Zoo – List of named GANs, updated semi-regularly.

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Thing Translator – Take a picture of something to hear how to say it in a different language. Scribbling Speech – Turn real time = speech into animated drawings. Jones – PoseNet experiments made with one of America’s most celebrated artists. Pitch Detection – Use a pre-trained pitch detection model to estimate the pitch of sound file through a computer mic.ĪI Sketches With Bill T. MuseNet – Generate 4-minute musical compositions with 10 instruments, and combine styles from country to Mozart with MuseNet (also available on GitHub). NSynth Sound Maker – Create your own hybrid sounds and instruments. Magenta Studio – A collection of music plugins built on Magenta’s open source tools and models.ĪI Duet – Play with a piano that responds to you. Handwriting with a neural net – Play with a neural net that generates handwriting based on your writing style. Semantris – Word association games powered by semantic search. GPT-2 – A leading computer generated language model, made by OpenAI. Sketch-RNN Demos – Draw together with a neural network.Ĭartoonify – Turn your portrait into a computer generated cartoon drawing. Draw along with AI and neural networks with this Google draw app. Quick, Draw! – A game where a neural net tries to guess what you’re drawing. (GANbreeder is now called ArtBreeder).įractal Art Generators - While the fractal art tools on this list don’t use actually AI, a lot of our visitors expressed interest in them because they’re within the realm of computationally generated art.ĪutoDraw – Turn your sketch into clip art with this computer generated AI drawing tool.ĪI Painter – Turn your photos into AI paintings or create abstract art with this neural network painting generator. GANBreeder – Merge images together to create new pictures, make hybrid AI portrals and create wild new forms that have never been seen before. Google Deep Dream – GitHub repository for implementing Google Deep Dream. Made by Fotor).ĭeep Angel – Automatically remove objects or people from images with this Deep Art editor. GoArt – Create AI photo effects that make your photos look like famous portrait paintings with this AI image generator. Visionist: Upload and apply AI Art styles to your photos, including abstract filters, cutout portraits, and more (iOS. Get your Deep Art on.ĭeepArt.io – Upload a photo and apply different art styles with this AI image generator, or turn a picture into an AI portrait of yourself (also check out DreamScope ).

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We get asked about this so much that we wrote an entire post comparing some of the best laptops for deep learning.ĭeep Dream Generator – Stylize your images using enhanced versions of Google Deep Dream with the Deep Dream Generator. Ml5.js – ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students through the web.īest laptops for machine learning. Includes p5js (Processing for JavaScript) and Processing.py (Processing for Python).

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Processing – A flexible software sketchbook and language for learning how to code within the context of the visual arts. Magenta – An open source research project exploring the role of machine learning as a tool in the creative process. (Note that GANbreeder was renamed ArtBreeder, with several AI models to manipulate photos). GANBreeder – Breed two images to create novel new ones using GANBreeder.

Nature of Code – This interactive book teaches you how to code generative art the last chapter is an exceptional introduction to AI art, with real code examples. Runway ML – An easy, code-free tool that makes it simple to experiment with machine learning models in creative ways.

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