Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Edel, Marcus"'
This report provides an introduction to the Bandicoot C++ library for linear algebra and scientific computing on GPUs, overviewing its user interface and performance characteristics, as well as the technical details of its internal design. Bandicoot
Externí odkaz:
http://arxiv.org/abs/2308.03120
Autor:
Curtin, Ryan R., Edel, Marcus, Shrit, Omar, Agrawal, Shubham, Basak, Suryoday, Balamuta, James J., Birmingham, Ryan, Dutt, Kartik, Eddelbuettel, Dirk, Garg, Rishabh, Jaiswal, Shikhar, Kaushik, Aakash, Kim, Sangyeon, Mukherjee, Anjishnu, Sai, Nanubala Gnana, Sharma, Nippun, Parihar, Yashwant Singh, Swain, Roshan, Sanderson, Conrad
Publikováno v:
Journal of Open Source Software, Vol. 8, No. 82, 2023
For over 15 years, the mlpack machine learning library has served as a "swiss army knife" for C++-based machine learning. Its efficient implementations of common and cutting-edge machine learning algorithms have been used in a wide variety of scienti
Externí odkaz:
http://arxiv.org/abs/2302.00820
Autor:
Curtin, Ryan R., Edel, Marcus, Prabhu, Rahul Ganesh, Basak, Suryoday, Lou, Zhihao, Sanderson, Conrad
Publikováno v:
Journal of Machine Learning Research, Vol. 22, No. 166, 2021
We overview the ensmallen numerical optimization library, which provides a flexible C++ framework for mathematical optimization of user-supplied objective functions. Many types of objective functions are supported, including general, differentiable,
Externí odkaz:
http://arxiv.org/abs/2108.12981
Autor:
Curtin, Ryan R., Edel, Marcus, Prabhu, Rahul Ganesh, Basak, Suryoday, Lou, Zhihao, Sanderson, Conrad
This report provides an introduction to the ensmallen numerical optimization library, as well as a deep dive into the technical details of how it works. The library provides a fast and flexible C++ framework for mathematical optimization of arbitrary
Externí odkaz:
http://arxiv.org/abs/2003.04103
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. Several types of optimizations are supported, including differentiable,
Externí odkaz:
http://arxiv.org/abs/1810.09361
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
Externí odkaz:
http://arxiv.org/abs/1711.06581
Autor:
Curtin, Ryan R., Edel, Marcus
mlpack is an open-source C++ machine learning library with an emphasis on speed and flexibility. Since its original inception in 2007, it has grown to be a large project implementing a wide variety of machine learning algorithms, from standard techni
Externí odkaz:
http://arxiv.org/abs/1708.05279
Autor:
Edel, Marcus, Koppe, Enrico
Publikováno v:
2015 International Conference on Indoor Positioning & Indoor Navigation (IPIN); 2015, p1-6, 6p
Autor:
Edel, Marcus
Publikováno v:
Linux Format; Oct2022, Issue 294, p9-9, 1/5p