MILJS：用于矩阵计算和机器学习的全新JavaScript库
MILJS : Brand New JavaScript Libraries for Matrix Calculation and Machine Learning
摘要：
MILJS是一组最先进的、平台无关的、可扩展的、快速的JavaScript库，用于矩阵计算和机器学习。我们提供矩阵计算的核心库称为Sushi，它的性能远远优于任何其他用JavaScript编写的领先机器学习库。特别是，我们的矩阵乘法比最快的JavaScript基准快177倍。基于Sushi，提供了一个名为Tempura的机器学习库，它支持机器学习研究中广泛使用的各种算法。我们还提供Soba作为可视化库。我们的库的实现都写得很清楚，有适当的文档，因此只要有Web浏览器，就可以很容易地开始使用。这些库可以在MIT许可下从http://mil-tokyo.github.io/获得。
英文摘要：
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 http://mil-tokyo.github.io/ under the MIT license.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
