- Armadillo - C++ library for linear algebra & scientific computing
- allows fast prototyping and computationally intensive experiments
- provides high-level syntax and functionality deliberately similar to Matlab
- bridges the gap between research and development
- used for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc
- 600,000+ downloads as of 2021
- open source under the Apache 2.0 license
- used by Facebook, NASA, Boeing, Siemens, Deutsche Bank, MIT, CMU, Stanford, etc
- more info & downloads: http://arma.sourceforge.net
- ensmallen - C++ library for non-linear numerical optimisation
- large set of standard and cutting-edge optimisers
- includes full-batch gradient descent techniques, small-batch techniques, gradient-free optimisers, constrained optimisation
- supports optional callbacks to customise the optimisation process
- applicable to artificial intelligence, machine learning, pattern recognition, computer vision, etc.
- open source under BSD license
- more info & downloads: https://ensmallen.org
- mlpack - extensive C++ machine learning library
- built on Armadillo and ensmallen
- implementation of many machine learning algorithms
- includes bindings for Python, Julia, Go, R
- open source under BSD license
- more info & downloads: https://mlpack.org
- PyArmadillo - linear algebra library for Python
- streamlined linear algebra library (matrix maths) for the Python language, with emphasis on ease of use
- provides high-level syntax and functionality deliberately similar to Matlab
- alternative to NumPy / SciPy
- relies on Armadillo for the underlying C++ implementation of matrix objects and associated functions
- open source under the Apache 2.0 license
- more info & downloads: https://pyarma.sourceforge.io
- Source code for various computer vision & image processing algorithms: