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mlpack

fast, header-only C++ machine learning library
with bindings to Python, Julia, R, Go, and the command-line

Written in C++ and built on Armadillo, ensmallen, and cereal.
Aims to provide fast, extensible implementations of cutting-edge machine learning algorithms.
Read the release announcement.

Latest version: 4.8.0 • 9.9MB • released June 9, 2026

Citation

mlpack uses an 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.

License

mlpack is open source software, licensed under the permissive 3-clause BSD license.

Support

mlpack uses an open governance model and is fiscally sponsored by NumFOCUS. Consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.

NumFOCUS is a nonprofit dedicated to supporting the open source scientific computing community. Read more.

mlpack has also received support from the following organizations.

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