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Darknet

Darknet on OpenCL Convolutional Neural Networks on OpenCL on Intel & NVidia & AMD & Mali GPUs for macOS & GNU/Linux & Windows & FreeBSD

Install / Use

/learn @sowson/Darknet
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Darknet v1.1.1 — AI CNN Computer Vision Engine

See also new iChess.io v12.27!!!

📄 This work is described in the scientific paper: https://doi.org/10.1002/cpe.6936

📦 Platform Support

  • ✅ macOS (Intel / Apple Silicon)
  • ✅ Ubuntu Linux 20.04+
  • ⚠️ Windows 10/11 (experimental OpenCL build)

Windows Build Guide:

https://iblog.isowa.io/2021/11/20/darknet-on-opencl-on-windows-11-x64

🧠 Training & Optimization Tips

  • Run from RAMDisk to reduce disk wear and speed up training/inference:

    • Linux: sudo mount -t tmpfs -o size=4096M tmpfs /your/ramdisk
    • macOS: diskutil erasevolume HFS+ "ramdisk" $(hdiutil attach -nomount ram://8388608)
  • Replace clBLAS with CLBlast for improved GEMM performance:

git apply patches/clblast.patch

🔗 Related Projects

📽️ Demos & Videos

🙏 Acknowledgements

Created by Piotr Sowa — AI researcher, GPU software engineer, and creator of iChess.io. More information and tutorials at iBlog.isowa.io.


For citations, academic usage, or collaboration inquiries, feel free to reach out via GitHub or LinkedIn.

Related Skills

View on GitHub
GitHub Stars196
CategoryDevelopment
Updated19d ago
Forks33

Languages

C

Security Score

85/100

Audited on Mar 16, 2026

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