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Releases: embedded-machine-learning/Cpp-NN

C++20 STM32CubeIDE Example Project

12 Aug 10:01
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Overview

This is the original STM32 project written in C++20, developed for the SEDGE paper ( https://doi.org/10.1007/s10994-025-06807-z )

The C++20 variation produces, on average, slightly faster code, but it was rewritten for maintainability.

What's in this Release
STM32 project using STM32CubeMX-generated code ( version 1.15.0, windows)
Profiling via STM32_Profiler integrated into Core/

Third-party licenses included under the Licenses/ directory
Key Notes

The profiling functionality is adapted from STM32_Profiler (MIT License).
If everything compiled correctly, there should not be any C++ std functions used, or any Matrix views used (they should be reduced to pure (immediate) pointer operations)

Licensing
All third-party components and license texts are included.
My own code is licensed under Apache 2.0.

C++17 STM32CubeIDE Example Project

30 Jul 13:35
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Overview

This is the original STM32 project written in C++17, developed for the SEDGE paper ( https://doi.org/10.1007/s10994-025-06807-z )

⚠️ Deprecated: This version is no longer maintained. It is preserved for historical and benchmarking purposes.

A complete rewrite is available (or in progress) using C++20, offering vastly improved maintainability, modularity, and code clarity.

What's in this Release

  • STM32 project using STM32CubeMX-generated code
  • Profiling via STM32_Profiler integrated into Core/
  • Project configured for improved performance via updated compiler flags
  • Third-party licenses included under the Licenses/ directory

Key Notes

  • The C++17 version is deprecated and not recommended for new development.
  • The profiling functionality is adapted from STM32_Profiler (MIT License).
  • Use this version only for reference or legacy benchmarking.

Licensing

All third-party components and license texts are included.
My own code is licensed under Apache 2.0.