MLpack

mlpack is an open-source C++ machine learning library with Python bindings, designed for fast, flexible, and scalable implementations of machine learning algorithms. It provides high-performance tools for classification, regression, clustering, dimensionality reduction, and deep learning, leveraging efficient linear algebra libraries like Armadillo and optimized numerical backends.

Features of mlpack:

• Provides a wide range of machine learning algorithms (classification, regression, clustering, dimensionality reduction, and more).
• Built in C++ for high performance, with user-friendly bindings for Python, Julia, and command-line tools.
• Utilizes optimized libraries (Armadillo, Ensmallen, OpenBLAS) for efficient linear algebra operations.
• Scales to large datasets with fast execution and parallelism support.
• Offers both beginner-friendly high-level APIs and flexible low-level control for experts.
• Open-source and actively maintained by the community.

To check the installed version of mlpack, run these commands in your environment:

$ sudo su
$ cd /opt
$ sudo apt update 
$ source mlpack_env/bin/activate
$ python -c "import mlpack; print('MLpack version:', mlpack.__version__)"
 

Disclaimer: mlpack is released under the BSD License and maintained by the mlpack community. Users are responsible for ensuring correct usage in their specific applications. The developers do not take responsibility for any consequences arising from its use. Always refer to the official documentation for the most accurate and up-to-date information.