In this challenge, I demonstrate the entire process of training and deploying a machine learning classification model in JavaScript – data collection, model training, and prediction!
Challenges
Featured Challenge:
#183 — Mathematical Marbling
All aboard as I attempt to simulate the artistic process of paper marbling. The algorithm is based on the paper 'Mathematical Marbling' by S. Lu, A. Jaffer, X. Jin, H. Zhao, and X. Mao. The code is written in JavaScript using the p5.js library.
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Liven up your video calls with p5.js, ml5.js, Teachable Machine, and OBS Studio!
This challenge uses the pre-trained SketchRNN machine learning model (available with the ml5.js library) to create a p5.js sketch that finishes a person's drawing.
In this challenge, I attempt to create a Ukulele tuner in JavaScript using p5.js, ml5.js and the pre-trained machine learning model CREPE: A Convolutional REpresentation for Pitch Estimation. Can you make one with a more elegant and creative interface?
In this challenge, I attempt to make my own version of Google’s Dinosaur Game (T-Rex run!) with a unique twist – controlling the dinosaur (unicorn, in this case) with a machine learning Speech Commands model!
In this holiday coding challenge, I use ml5.js and Sketch-RNN to generate snowflake drawings.
