machinelearn.js is a Machine Learning library written in Typescript. It solves Machine Learning problems and teaches users how Machine Learning algorithms work.
$ yarn add machinelearn
$ npm install --save machinelearn
through C++ binding or GPU, you must import
machinelearn-node for C++ or
machinelearn-gpu for GPU.
yarn add machinelearn-node
yarn add machinelearn-gpu
- 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
machinelearn.js provides a simple and consistent set of APIs to interact with the models and algorithms. For example, all models have follow APIs:
toJSONfor saving the model's state
fromJSONfor loading the model from the checkpoint
Testing ensures you that you are currently using the most stable version of machinelearn.js
$ npm run test
We simply follow "fork-and-pull" workflow of Github. Please read CONTRIBUTING.md for more detail.
Great references that helped building this project!
Thanks goes to these wonderful people (emoji key):