Showing 2 open source projects for "overclock cpu intel"

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  • Self-hosted password manager Icon
    Self-hosted password manager

    Developed and headquartered in Europe (Barcelona, Spain), Passwork meets GDPR, NIS2, ENS and other European regulatory requirements by design.

    On-premise solution with double encryption and certified development processes for maximum protection of corporate data. Zero‑knowledge architecture ensures your passwords never leave your infrastructure.
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    IT Asset Management (ITAM) Software

    Supercharge Your IT Assets, the Easy Way

    EZO AssetSonar is a comprehensive IT asset management platform that provides real-time visibility into your entire digital infrastructure. Track and optimize hardware, software, and license management to reduce risks, control IT spend, and improve compliance.
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    OpenFace Face Recognition

    OpenFace Face Recognition

    Face recognition with deep neural networks

    OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Torch allows the network to be executed on a CPU or with CUDA. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google, Vodafone, NVIDIA, and the Conklin Kistler family fund. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and should not be attributed to their employers or funding sources. ...
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  • 2
    libfacedetection

    libfacedetection

    Library for face detection in images

    ...You can compile the source code under Windows, Linux, ARM and any platform with a C++ compiler. SIMD instructions are used to speed up the detection. You can enable AVX2 if you use Intel CPU or NEON for ARM. The model file has also been provided in directory ./models/. The file examples/detect-image.cpp and examples/detect-camera.cpp show how to use the library. The library was trained by libfacedetection.train. You can copy the files in directory src/ into your project, and compile them as the other files in your project. ...
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