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.


User Installation

Using yarn

``bash
$ yarn add machinelearn
`

Using NPM

`bash
$ npm install --save machinelearn
`

On the browsers

We use jsdeliver to distribute browser version of machinelearn.js

`html


`

Please see https://www.jsdelivr.com/package/npm/machinelearn for more details.

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

`bash
yarn add machinelearn-node
`

* activation

`javascript
import 'machinelearn-node';
`

2. GPU

* installation

`bash
yarn add machinelearn-gpu
`

* activation

`javascript
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 :heart: 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

`bash
$ npm run test
``

Supporting

Simply give us a :star2: 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!

* https://machinelearningmastery.com/
* https://github.com/mljs/ml
* http://scikit-learn.org/stable/documentation.html

Contributors

Thanks goes to these wonderful people (emoji key):

|
_{Jason Shin}
📝 🐛 💻 📖 ⚠️ |
_Jaivarsan
💬 🤔 📢 |
_{Oleg Stotsky}
🐛 💻 📖 ⚠️ |
_Ben
💬 🎨 📢 🐛 💻 |
_{Christoph Reinbothe}
💻 🤔 🚇") 👀 |
_{Adam King}
💻 ⚠️ 📖 |
| :---: | :---: | :---: | :---: | :---: | :---: |