This is your work, valued
Data scientist with a background in physics/math.
PCA_and_autoencoders. Dimensionality reduction
29p5buddy. JavaScript
8ml_sandbox. Various machine learning experiments and visualizations
6p5workshop. For International Processing Day 2020
5statnotes. Various statistics notes
5Rainbow-Code. Code from Coding Train YouTube video tutorials.
2qlearn.js. A reinforcement learning library built on top of tensorflow.js
2MobileMeteor. A game built with with ml5.js
1horizontalway. Guitar scale visualizer
1VectorVoyage. An adaptation of https://www.teachengineering.org/activities/view/cub_navigation_lesson02_activity1
1ml5-library. Friendly machine learning for the web! 🤖
1p5.js-web-editor. In progress p5.js web editor, coming soon.
1developing_data_products. A repo for the MOOC of the same name.
1RiTaJS. RiTa: the generative language toolkit (in JS)
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