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octave.org

GNU Octave is a programming language for scientific computing with mathematics-oriented syntax and built-in 2D/3D plotting and visualization tools. It is free software licensed under the GNU General Public License and runs on GNU/Linux, macOS, BSD, and Microsoft Windows. Its syntax is largely compatible with Matlab, and it can be extended by packages.

Models & Machine Learning 0
mathema.tician.de

PyCUDA is a software project associated with Andreas Klöckner, who teaches and conducts research in scientific computing at the University of Illinois at Urbana-Champaign. The project has a dedicated documentation site.

AI Education & Learning 0
python.org

Python is a programming language whose official site provides downloads, documentation, a beginner's guide and news. The site lists application areas including web development, GUI development, AI and machine learning, scientific and numeric computing, software development and system administration. The Python Software Foundation supports the language and its community.

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github.com

Open-source runtime for numerical computing that executes MATLAB-syntax code. Built in Rust, it provides a compiler, a virtual machine, and JIT tiers, with a GPU backend powered by wgpu. The project targets CPU and GPU hardware and handles tensor allocations and movement automatically.

Models & Machine Learning 0
sciruby.com

SciRuby is a project providing tools for scientific computing and data visualization in Ruby. Its releases include NMatrix, a linear algebra library with dense and sparse matrix storage and tensor support, alongside visualization and statistics gems. The project describes itself as currently alpha, and it notes its gems are tested but not battle-hardened. SciRuby and NMatrix are available under the BSD three-clause license.

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github.com

StatsKit.jl is a convenience meta-package for the Julia programming language. Developed by the JuliaStats organization, it aggregates essential packages for statistical computing into a single installation. The project is hosted on GitHub and aims to simplify the setup of a comprehensive statistics environment in Julia.

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