MILJS : Brand New JavaScript Libraries for Matrix Calculation and Machine Learning by Ken Miura, et al.
Abstract:
MILJS is a collection of state-of-the-art, platform-independent, scalable, fast JavaScript libraries for matrix calculation and machine learning. Our core library offering a matrix calculation is called Sushi, which exhibits far better performance than any other leading machine learning libraries written in JavaScript. Especially, our matrix multiplication is 177 times faster than the fastest JavaScript benchmark. Based on Sushi, a machine learning library called Tempura is provided, which supports various algorithms widely used in machine learning research. We also provide Soba as a visualization library. The implementations of our libraries are clearly written, properly documented and thus can are easy to get started with, as long as there is a web browser. These libraries are available from this http URL under the MIT license.
Where “this http URL” = http://mil-tokyo.github.io/. It’s a hyperlink with that text in the original so I didn’t want to change the surface text.
The paper is a brief introduction to the JavaScript Libraries and ends with several short demos.
On this one, yes, run and get the code: http://mil-tokyo.github.io/.
Happy coding!