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Machine Learning library for the web and Node.

Home Page: https://www.machinelearnjs.com/

License: MIT License

Dockerfile 0.13% Shell 1.77% JavaScript 0.31% TypeScript 97.78%

machinelearnjs's Introduction

machinelearn.js

machinelearn.js is a Machine Learning library written in Typescript. It solves Machine Learning problems and teaches users how Machine Learning algorithms work.

Build Status Build status FOSSA Status Slack ZenHub

User Installation

Using yarn

$ yarn add machinelearn

Using NPM

$ npm install --save machinelearn

Accelerations

By default, machinelearning.js will use pure Javascript version of tfjs. To enable acceleration through C++ binding or GPU, you must import machinelearn-node for C++ or machinelearn-gpu for GPU.

  1. C++
  • installation
yarn add machinelearn-node
  • activation
import 'machinelearn-node';
  1. GPU
  • installation
yarn add machinelearn-gpu
  • activation
import 'machinelearn-gpu';

Highlights

  • Machine Learning on the browser and Node.js
  • Learning APIs for users
  • Low entry barrier

Development

We welcome new contributors of all level of experience. The development guide will be added to assist new contributors to easily join the project.

  • You want to participate in a Machine Learning project, which will boost your Machine Learning skills and knowledge
  • Looking to be part of a growing community
  • You want to learn Machine Learning
  • You like Typescript โค๏ธ Machine Learning

Simplicity

machinelearn.js provides a simple and consistent set of APIs to interact with the models and algorithms. For example, all models have follow APIs:

  • fit for training
  • predict for inferencing
  • toJSON for saving the model's state
  • fromJSON for loading the model from the checkpoint

Testing

Testing ensures you that you are currently using the most stable version of machinelearn.js

$ npm run test

Supporting

Simply give us a ๐ŸŒŸ by clicking on

Contributing

We simply follow "fork-and-pull" workflow of Github. Please read CONTRIBUTING.md for more detail.

Further notice

Great references that helped building this project!

Contributors

Thanks goes to these wonderful people (emoji key):


Jason Shin

๐Ÿ“ ๐Ÿ› ๐Ÿ’ป ๐Ÿ“– โš ๏ธ

Jaivarsan

๐Ÿ’ฌ ๐Ÿค” ๐Ÿ“ข

Oleg Stotsky

๐Ÿ› ๐Ÿ’ป ๐Ÿ“– โš ๏ธ

Ben

๐Ÿ’ฌ ๐ŸŽจ ๐Ÿ“ข ๐Ÿ› ๐Ÿ’ป

Christoph Reinbothe

๐Ÿ’ป ๐Ÿค” ๐Ÿš‡ ๐Ÿ‘€

Adam King

๐Ÿ’ป โš ๏ธ ๐Ÿ“–

machinelearnjs's People

Contributors

jasonshin avatar olegstotsky avatar variablevasasmt avatar lsboss avatar notadamking avatar sudo-ben avatar devjiro76 avatar

Watchers

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