A collaborative list of interactive Machine Learning, Deep Learning and Statistics websites. Started by Piotr Migdał, but anyone is encouraged to contribute! It is a simple no-build Vue.js website:

• p.migdal.pl/interactive-machine-learning-list/

Feel invited to Pull Request other interactive visualizations (check websites.yaml)! :)

...aaand if you want to create such visualizations by yourself, see In Browser AI.

Still I am thinking what is the best criterion.

For sure things that are front-end (i.e. JavaScript within browser). For things using backend (when you can see solution, but it uses some PyTorch/TF/etc code on a server) I am still debating, but I lean on being more inclusive. In this context:

• make sure it has some didactic value (otherwise ALL services using ML would qualify)
• add backend-dependent in uses

Strong preference for open-source solutions (so people can reuse it and learn from code), though it is not a requirement. Though, mention repo and open source license only when it is directly relevant (vs additional materials such as exercises for a book, or Python algorithm).

• Explorable Explanations
• Distill
• Explained Visually
• AI Experiments with Google

Read Explorable Explanations by Bret Victor.

Inspirations for collecting and displaying content:

• Science-based games - a collaborative list - a list I started (maybe I will turn it int something interactive as well)
• Kaggle Past Solutions - a searchable compilation of Kaggle past solutions
  • source: EliotAndres/kaggle-past-solutions
• D3 Discovery - finding D3 plugins with ease
  • source: https://github.com/wbkd/d3-discovery

Main layout and styling developed by Jakub Fogel

(You are invited to constribute)

• Descriptions of sites
• Write-up in a different way
• Some sorting (alphabetical?)
• Share button
• Code refactoring :)