High-performance Libraries

6 Components & Libraries

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High-performance Libraries

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Evolutionary algorithm toolbox and framework with high performance for Python

The Genetic and Evolutionary Algorithm Toolbox for Python with high performance. The features of Geatpy: Capability of solving single-objective, multi-objectives, many-objectives and combinatorial op…

Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:

If you use pip and don't have JAX installed already, you will also need to do: Running this script on 4 processes gives:

Fast OpenGL Mathematics (GLM) for Python

And finally imported and used: In case you need the size of a PyGLM datatype, you can use

A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.

Jiayi Weng (jiayiwen), Zixu Chen (zixuc) The above output shows all extensions have successfully installed. We have prepared the test suite to run: This script will download 8 tests from GitHub, and …

A highly optimised C++ library for mathematical applications and neural networks.

LibRapid is an extremely fast, highly-optimised and easy-to-use C++ library for mathematics, linear algebra and more, with an extremely powerful multidimensional array class at it's core. Every part …

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mathematical-functions