Data Tech

mlpack is a general-purpose flexible, fast machine learning library written in C++. The library aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. These algorithms are provided as simple command-line programs, Python bindings (and bindings to other languages), and also C++ classes which can then be integrated into larger-scale machine learning solutions. In this talk I will introduce mlpack and discuss how it achieves its fast implementations via template metaprogramming and by implementing more asymptotically efficient algorithms. Even though C++ is fairly unpopular for machine learning, I will show that it is possible to have easy, understandable, production-quality C++ machine learning code with mlpack. I'll also give some examples of usage, including how we use mlpack inside of RelationalAI, and also talk about the future goals and development of the library.