Skip to content
A list of machine learning for art courses, tools, examples, people, and places.
Branch: master
Clone or download
Latest commit fb42d8e Feb 28, 2019
Type Name Latest commit message Commit time
Failed to load latest commit information. Update Feb 28, 2019 Update Feb 27, 2019 Update Feb 27, 2019

Art and Machine Learning (with some new media thrown in)

These are resources and tutorials for anyone interested in using machine learning for creative uses. Whether you are an artist looking to augment your practice with machine learning or a ML engineer/researcher wanting to make creative applications.

Courses (loosely defined)

Creative Coding Tools

Here is a list of some common creative coding libraries (not including machine learning specific libraries).

if you do not know where to start/what to use, I would recommend using (Processing in Python) or p5.js

Machine Learning Tools (for making art)

General purpose frameworks/libraries

Google Colab Examples/Documentation

Semi-official Google Contributed

Interactive ML Embedding Examples

Here are some fun interactive embedding visualizations from Google's AI Experiments, hopefully they also give some intuition about high dimensional spaces and what embedding does to them:

Generative, Procedural, and Algorithmic Art Tutorials

Here are some examples/tutorials on creating generative, procedural, or algorithmic art/designs using code.


A non-exhaustive list of people doing interesting things at the intersection of art, ML, and design.


You can’t perform that action at this time.