Simd Library.

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The Simd Library is a free open source image processing and machine learning library, designed for C and C++ programmers. It provides many useful high performance algorithms for image processing such as: image loading and saving, pixel format conversion, image scaling and filtration, extraction of statistic information from images, motion detection, object detection and classification, neural network.

The algorithms are optimized with using of different SIMD CPU extensions. In particular the library supports following CPU extensions: SSE, AVX, AVX-512 and AMX for x86/x64, NEON for ARM.

The Simd Library has C API and also contains useful C++ and Python wrapper classes and functions to facilitate access to C API. The library supports dynamic and static linking, 32-bit and 64-bit Windows and Linux, MSVS, G++ and Clang compilers, MSVS project and CMake build systems.


2011-2024 Yermalayeu Ihar,

2014-2021 Antonenka Mikhail,

2016-2016 Sergey Dobrodey,

2017-2017 Vianney le Clément de Saint-Marcq,

2017-2017 Hanno Gerd Meyer,

2018-2019 Radchenko Andrey,

2018-2018 Dmitry Fedorov,

2018-2018 Kirill Matsaberydze,

2018-2018 Denis Daletski,

2018-2018 Alexander Pozdneev,

2019-2019 Artur Voronkov,

2019-2019 Facundo Galan,

2020-2020 Alexander Komarov,

2020-2020 Andrey Turkin.

2021-2021 Jop Knoppers.

2021-2021 Ng Zhi An.

2021-2021 Hung Ming Wu.

2021-2021 Dmitry Dynaev.

2021-2021 James Stafford.

2021-2021 Ars Masiuk.

2022-2022 T T.

2022-2022 Lev Fomenko.

2022-2022 Mohamad Ziad Alkabakibi.

2022-2022 Robin van Emden.

2022-2022 Mengna Li.

2022-2022 Souriya Trinh.

2022-2022 Fabien Spindler.

2022-2022 Andrey Drogolyub.

2023-2023 Edi61.

2024-2024 Jan Rysavy.