mlpack uses as open governance model and is fiscally sponsored by NumFOCUS. Please cite the following paper if you use mlpack in your work. Citations are useful for the continued development of the library.
mlpack 4: a fast, header-only C++ machine learning library. R.R. Curtin, M. Edel, O. Shrit, S. Agrawal, S. Basak, J.J. Balamuta, R. Birmingham, K. Dutt, D. Eddelbuettel, R. Garg, S. Jaiswal, A. Kaushik, S.Kim, A. Mukherjee, N.G. Sai, N. Sharma, Y.S. Parihar, R. Swain, and C. Sanderson. Journal of Open Source Software 8:82, 2023.
Below are some additional relevant publications about mlpack.
mlpack open-source machine learning library and community M. Edel. NeurIPS 2018 MLOSS Workshop, 2018.
mlpack 3: a fast, flexible machine learning library. R.R. Curtin, M. Edel, M. Lozhnikov, Y. Mentekidis, S. Ghaisas, S. Zhang. Journal of Open Source Software 3:26, 2018.
mlpack: a scalable C++ machine learning library R.R. Curtin, J.R. Cline, N.P. Slagle, W.B. March, P. Ram, N.A. Mehta, A.G. Gray, The Journal of Machine Learning Research (JMLR), vol. 14, p. 801-805, 2013.
mlpack: a scalable C++ machine learning library R.R. Curtin, J.R. Cline, N.P. Slagle, M.L. Amidon, A.G. Gray. NIPS 2011 Workshop on Big Learning, Granada, Spain, 2011.
mlpack is open source software, licensed under the permissive 3-clause BSD license.