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A fast and comprehensive machine learning framework for Java, Scala, and Kotlin with state-of-the-art algorithms and data visualization.
A templatized header-only C++ implementation of the Python NumPy library for numerical computing.
A comprehensive lecture series teaching scientific computing with Python through interactive IPython notebooks.
A comprehensive, self-contained mathematics library for PHP with no external dependencies, covering algebra, statistics, linear algebra, and numerical analysis.
A curated list of awesome software, libraries, and tools for numerical analysis and scientific computing.
A curated, categorized directory of Julia packages and resources for scientific computing and high-performance numerical analysis.
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