PyArmadillo - streamlined linear algebra library for Python, with emphasis on ease of use. Alternative to NumPy / SciPy.
* Main page: https://pyarma.sourceforge.io
* Documentation: https://pyarma.sourceforge.io/docs.html
* Bug reports: https://pyarma.sourceforge.io/faq.html
* Git repo: https://gitlab.com/jason-rumengan/pyarma
Features
- Easy to use - has many MATLAB like functions
- Alternative to NumPy / SciPy
- Permissively licensed - can be used in proprietary software and products
- Used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc
- Efficient classes for matrices and cubes
- Fast singular value decomposition (SVD), eigen decomposition, QR, LU, Cholesky, FFT
- Contiguous and non-contiguous submatrices
- Read/write data in CSV files
- Clustering using k-means
Categories
Computer Vision LibrariesLicense
Apache License V2.0Follow PyArmadillo
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