Kalimdor.js

Kalimdor.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 kalimdor
`

Using NPM

`bash
$ npm install --save kalimdor
`

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

Kalimdor.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 Kalimdor.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}
💻 ⚠️ 📖 |
| :---: | :---: | :---: | :---: | :---: | :---: |