-
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
-
Git repo: gitlab.com/jason-rumengan/pyarma
-
API Documentation: pyarma.sourceforge.io/docs.html
conradsnicta / pyarmadillo Goto Github PK
View Code? Open in Web Editor NEWstreamlined linear algebra library for Python - https://pyarma.sourceforge.io