SourceForge

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

License

Apache License V2.0

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