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JavaScript Machine Learning Libraries

A verified directory of JavaScript libraries for building and training neural networks and machine learning models in the browser and on Node.js.

11Libraries listed
01

Synaptic.js

An architecture-free neural network library for Node.js and the browser, built by Juan Cazala.

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02

Brain.js

GPU accelerated neural networks in JavaScript, for browsers and Node.js.

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03

TensorFlow.js

A library for machine learning in JavaScript — develop ML models and run them in the browser or on Node.js.

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04

ConvNetJS

A JavaScript library for training Deep Learning models (neural networks) entirely in your browser — no installs, no GPUs required.

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05

compromise

A JavaScript library that interprets and pre-parses natural language text.

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06

ml5.js

Aims to make machine learning approachable for a broad audience of artists, creative coders, and students, built on top of TensorFlow.js.

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07

Stdlib

A standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing.

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08

Mind

Crafting flexible neural networks in JavaScript that learn to make predictions.

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09

Neuro.js

A machine learning framework for building AI assistants and chat-bots, with multi-label classification and online learning.

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10

WebDNN

The fastest DNN execution framework for running pre-trained deep neural network models on web browsers.

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11

Limdu

A machine-learning framework for Node.js supporting multi-label classification, online learning, and real-time classification.

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