@ml4a_

machine learning for artists

ml4a.net
Joined April 2016
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A new website, new python library, and a new set of models and tutorials to play with are now online! ml4a.net

Machine learning for arts

ml4a is a collection of tools and educational resources for making art with machine learning.

ml4a.net
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Just discovered @ml4a_ and my life has exponentially improved. #Procrastination has never been so productive and looked so ✨good✨
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More fun with face tracking in @ml5js: This guide shows you how to make silly collages of face parts. editor.p5js.org/AndreasRef/s…
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Introducing Runway Sequel. The first professional video editor made for the web, powered by machine learning. Start creating now: runwayml.com
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Experiment with K-Means by clustering your different hand poses. editor.p5js.org/tlsaeger/ske…
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Turn your face into spaghetti using a custom javascript face tracker. editor.p5js.org/tlsaeger/ske…
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Create an interactive face mask using Facemesh to analyse a face via webcam. editor.p5js.org/tlsaeger/ske…
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Processing faces in images, including detection, recognition, landmarking, and parsing. colab.research.google.com/gi…
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How to use hand recognition to zoom your webcam image with @ml5js editor.p5js.org/tlsaeger/ske…
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Train a knn algorithm to classify handposes on rock, paper and scissors, using this @ml5js guide. editor.p5js.org/tlsaeger/ske…
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How to turn photographs into cartoons colab.research.google.com/gi…
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Simple K-Means Clustering in @ml5js editor.p5js.org/tlsaeger/ske…
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A new set of @ml5js examples to play with, right in your browser! Thanks to @t00may for contributing 7 new examples. ml4a.net/ml5/
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Editing real images with GANs! First “invert” or encode the image into the latent space of a GAN. Then add and subtract features. See how: colab.research.google.com/gi…
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here's a new weird thing that I made: the Nonsense Laboratory! it's a series of playful tools for manipulating the way words sound and are spelled... with machine learning! runs right there in your browser artsexperiments.withgoogle.c…
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Ernst Haeckel StyleGAN
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Latent3Visions is out on Patreon -- featuring a much more friendly interface (no need to even look at code 😉). patreon.com/posts/50657210 And you can now guide generation with images! Could even turn yourself into a cat person. If you want. I guess.
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When I got started with machine learning, I mainly focused on creative applications. Intuitions came more naturally and coding felt easier when working on fun creative tasks. This cool website contains ML notebooks for creative tasks and fundamentals. ml4a.net/
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Easy text-to-speech engine in ml4a, wrapping NVIDIA's Tacotron2. from ml4a import audio from ml4a.models import tacotron2 speech = tacotron2.run("Hello world!") audio.display(speech.wav, speech.sampling_rate) colab.research.google.com/gi…
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pip install ml4a
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Semantic segmentation is a technique for classifying and parsing an image into each of its individual components. Easily extract people, animals, and other objects. Learn how using this notebook: colab.research.google.com/gi…
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Note: remember to enable GPU in the menu! (Runtime -> Change runtime type -> select GPU)
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