JavaScript Machine Learning by Dev Activity

2.3

0.0

Dannjs

9.5

8.2

Tesseract.js

7.8

8.2

natural

4.9

4.7

ml.js

1.2

0.0

Synapses

3.5

4.4

Limdu.js

20 Machine Learning libraries and projects

Dannjs

2.3 0.0 JavaScript

DISCONTINUED. Easy to use Deep Neural Network Library for JavaScript.
Tesseract.js

9.5 8.2 L3 JavaScript

Pure Javascript OCR for more than 100 Languages 📖🎉🖥

SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App

With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

Promo surveyjs.io

natural

7.8 8.2 L5 JavaScript

general natural language facilities for node
ml.js

4.9 4.7 JavaScript

Machine learning tools in JavaScript
Synapses

1.2 0.0 Elixir

A group of neural-network libraries for functional and mainstream languages
Limdu.js

3.5 4.4 L4 JavaScript

Machine-learning for Node.js
DN2A

2.6 2.9 L5 TypeScript

Dynamic Neural Networks Architect
neurojs

6.0 0.0 JavaScript

A JavaScript deep learning and reinforcement learning library.
WebDNN

4.4 0.0 TypeScript

The Fastest DNN Running Framework on Web Browser
ConvNetJS

8.3 0.0 L3 JavaScript

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Brain.js

7.5 0.0 L5 JavaScript

DISCONTINUED. Simple feed-forward neural network in JavaScript
Mind.js

3.9 0.0 L4 JavaScript

A neural network library built in JavaScript
Synaptic.js

7.0 0.0 L2 JavaScript

architecture-free neural network library for node.js and the browser
Keras.js

6.3 0.0 JavaScript

Run Keras models in the browser, with GPU support using WebGL
deeplearn.js

7.8 0.0 TypeScript

DISCONTINUED. A hardware-accelerated machine intelligence library for the web.
Propel

4.7 0.0 TypeScript

DISCONTINUED. Differential Programming in JavaScript.
ml5.js

-

Friendly Machine Learning for the Web.
TensorFlow.js

-

A JavaScript library for training and deploying ML models in the browser and on Node.js.
m2cgen

4.9 0.0 Python

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
di-libs

0.2 6.8 JavaScript

Libraries for computations. Can be used inside or outside mappy platform.

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

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