The Creative Juice
Yuhoo! It marks the 70th article today. I’ve come a long way. LOL. 😈
I wasn’t expecting myself to be this consistent, & here we are. If I knew when I was a kid that you could make a career out of painting & drawing; I would have done that.
I went too far in the wrong direction and developed two passions that can bring home money & happiness.
One is my computer science brain, & another is my creative soul (I don’t have the heart to sell my paintings yet). I love both parts of me dearly.
Today is self-appreciation day. 👏
& this is me with my first computer! (Do not judge!)🙃
Little peek inside my world.
Moving on…. Let’s continue our Journey of AI in Art!
Following are some kool apps that you can use to generate AI Art.
Runway ML — An easy, code-free tool that makes it simple to experiment with machine learning models in creative ways. Our overall staff pick.
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.
GANBreeder — Breed two images to create novel new ones using GANBreeder. (Note that GANbreeder was renamed ArtBreeder, with several AI models to manipulate photos).
Magenta — An open source research project exploring the role of machine learning as a tool in the creative process. (Coding skills required).
Processing — A flexible software sketchbook and language for learning how to code within the context of the visual arts. Includes p5js (Processing for JavaScript) and Processing.py (Processing for Python). [Processing does not use AI, but is a great tool for generative visual art].
ml5.js — ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students through the web.
& if you are a nerd like me 😎, then let’s do fun stuff from scratch by using some tech!!
Teachable machine — Teach a machine using your camera, live in the browser without code.
with datasets:
& some Machine Learning Libraries:
TensorFlow.js — a library for developing and training ML models in JavaScript.
scikit-learn — One of the most popular tools for data mining and analysis. Built on NumPy, SciPy, and matplotlib Open source, commercially usable (BSD license).
Follow for more things Artistic AI 👩🏻🎨!! The Journey — AI By Jasmin Bharadiya
