Kidel/Artificial-Intelligence-JS

Machine Learning and Artificial Intelligence algorithms using client-side JavaScript, Node.js and MongoDB. Just code kata.

38
/ 100
Emerging

This project offers a collection of basic machine learning and artificial intelligence algorithms implemented in client-side JavaScript. It takes structured datasets, typically in JSON format, and allows you to run experiments like classification (C4.5), clustering (K-Means), and optimization (Simulated Annealing, Genetic Algorithm) directly in a web browser. It's intended for developers or students who want to understand how these algorithms work by seeing and manipulating their implementations.

No commits in the last 6 months.

Use this if you are a web developer or a student interested in experimenting with foundational ML/AI algorithms directly within a browser environment, using JavaScript and optionally Node.js/MongoDB for data serving.

Not ideal if you need a robust, production-ready machine learning solution or a library with advanced features and optimizations, as this project is purely for educational experimentation.

client-side-development algorithm-education web-development javascript-experiments data-structuring
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

10

Forks

8

Language

JavaScript

License

Last pushed

Dec 21, 2016

Commits (30d)

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