previtus/interactive-art-resources

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)

Machine Learning for Artists
ITP @ NYU: Machine Learning for the Web
ITP @ NYU: Introduction to Computational Media
Kadenze: Creative Applications of Deep Learning with TensorFlow
Kadenze: Generative Art and Computational Creativity
CMU: Art and Machine Learning
CMU: New Media Installation: Art that Learns
Coding Train: Youtube Playlists

Creative Coding Tools

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

Processing (Java, p5.js and processing.py)
HTML/Javascript (canvas and two.js)
WebGL (three.js, regl, stack.gl, Mathbox)
openFrameworks
Audio (tone.js, Max, Pure Data, Overtone, ChucK)
Text (spacy, natural, Tracery)

if you do not know where to start/what to use, I would recommend using processing.py (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.

People

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

previtus / interactive-art-resources