Kalimdor.js is a Machine Learning library written in Typescript. It solves Machine Learning problems and teaches users how Machine Learning algorithms work.
Using yarn
$ yarn add kalimdorUsing NPM
$ npm install --save kalimdor- Machine Learning on the browser and Node.js
- Learning APIs for users
- Low entry barrier
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
Kalimdor.js provides a simple and consistent set of APIs to interact with the models and algorithms. For example, all models have follow APIs:
fitfor trainingpredictfor inferencingtoJSONfor saving the model's statefromJSONfor loading the model from the checkpoint
Testing ensures you that you are currently using the most stable version of Kalimdor.js
$ npm run testSimply give us a 🌟 by clicking on
We simply follow "fork-and-pull" workflow of Github. Please read CONTRIBUTING.md for more detail.
Great references that helped building this project!
- https://machinelearningmastery.com/
- https://github.com/mljs/ml
- http://scikit-learn.org/stable/documentation.html
Thanks goes to these wonderful people (emoji key):
 Jason Shin 📝 🐛 💻 📖 |
 Jaivarsan 💬 🤔 📢 |
 Oleg Stotsky 🐛 💻 📖 |
 Ben 💬 🎨 📢 🐛 💻 |
 Christoph Reinbothe 💻 🤔 🚇 👀 |
 Adam King 💻 |
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