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

$ yarn add kalimdor

Using NPM

$ 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 ❤️ 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

$ npm run test

Supporting

Simply give us a 🌟 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 💻 ⚠️ 📖