no code implementations • 9 Mar 2020 • Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson
The library provides a fast and flexible C++ framework for mathematical optimization of arbitrary user-supplied functions.
1 code implementation • 22 Oct 2018 • Shikhar Bhardwaj, Ryan R. Curtin, Marcus Edel, Yannis Mentekidis, Conrad Sanderson
We present ensmallen, a fast and flexible C++ library for mathematical optimization of arbitrary user-supplied functions, which can be applied to many machine learning problems.
1 code implementation • Journal of Open Source Software 2018 • Ryan R. Curtin, Marcus Edel, Mikhail Lozhnikov, Yannis Mentekidis, Sumedh Ghaisas, Shangtong Zhang
In the past several years, the field of machine learning has seen an explosion of interest and excitement, with hundreds or thousands of algorithms developed for different tasks every year.
no code implementations • 17 Nov 2017 • Ryan R. Curtin, Shikhar Bhardwaj, Marcus Edel, Yannis Mentekidis
The development of the mlpack C++ machine learning library (http://www. mlpack. org/) has required the design and implementation of a flexible, robust optimization system that is able to solve the types of arbitrary optimization problems that may arise all throughout machine learning problems.
1 code implementation • 17 Aug 2017 • Ryan R. Curtin, Marcus Edel
mlpack is an open-source C++ machine learning library with an emphasis on speed and flexibility.