https://github.com/conradsnicta/pyarmadillo

streamlined linear algebra library for Python - https://pyarma.sourceforge.io
https://github.com/conradsnicta/pyarmadillo

armadillo blas cpp11 lapack linear-algebra linear-algebra-library matrix-factorization matrix-functions mkl numpy pybind11 python scientific-computing scipy

Last synced: 22 days ago
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streamlined linear algebra library for Python - https://pyarma.sourceforge.io

• Host: GitHub
• URL: https://github.com/conradsnicta/pyarmadillo
• Owner: conradsnicta
• Created: 2021-02-01T03:06:56.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-10-18T04:11:23.000Z (about 3 years ago)
• Last Synced: 2023-07-19T14:45:39.884Z (over 1 year ago)
• Topics: armadillo, blas, cpp11, lapack, linear-algebra, linear-algebra-library, matrix-factorization, matrix-functions, mkl, numpy, pybind11, python, scientific-computing, scipy
• Homepage:
• Size: 11.7 KB
• Stars: 5
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# PyArmadillo - streamlined linear algebra library for Python

* PyArmadillo is a user-friendly linear algebra and scientific computing library for Python, with Matlab-like syntax

* Provides objects for matrices and cubes, as well as over 200 associated functions for manipulating data stored in the objects

* Integer, floating point and complex elements are supported

* Various matrix factorisations are provided through integration with LAPACK, or one of its high performance drop-in replacements (Intel MKL or OpenBLAS)

* Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc

* **How to install:** [pyarma.sourceforge.io](https://pyarma.sourceforge.io)

* **Git repo:**  [gitlab.com/jason-rumengan/pyarma](https://gitlab.com/jason-rumengan/pyarma)  

* **API Documentation:** [pyarma.sourceforge.io/docs.html](https://pyarma.sourceforge.io/docs.html)