C++ AI Models for Android

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Browse free open source C++ AI Models for Android and projects below. Use the toggles on the left to filter open source C++ AI Models for Android by OS, license, language, programming language, and project status.

  • ACI Learning: Internal Audit, Cybersecurity, and IT Training Icon
    ACI Learning: Internal Audit, Cybersecurity, and IT Training

    Proven skill building for every aspect of your support or IT team.

    Traditional training doesn't equip employees with the practical skills they need to drive business success. ACI Learning provides hands-on IT and cybersecurity training designed to build real-world, on-the-job skills. Our outcome-based programs empower employees with certification prep, industry-recognized credentials, and flexible learning options. With expert-led video training, labs, and scalable solutions, we help businesses, individuals, governments, and academic institutions develop a skilled workforce, align with business goals, and stay ahead in a rapidly evolving digital world.
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  • Globalscape Enhanced File Transfer (EFT) is a best-in-class managed file transfer (MFT) solution Icon
    Globalscape Enhanced File Transfer (EFT) is a best-in-class managed file transfer (MFT) solution

    For Windows-Centric Organizations Looking for Secure File Transfer solutions

    Globalscape’s Enhanced File Transfer (EFT) platform is a comprehensive, user-friendly managed file transfer (MFT) software. Thousands of Windows-Centric Organizations trust Globalscape EFT for their mission-critical file transfers.
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  • 1
    Alpaca.cpp

    Alpaca.cpp

    Locally run an Instruction-Tuned Chat-Style LLM

    Run a fast ChatGPT-like model locally on your device. This combines the LLaMA foundation model with an open reproduction of Stanford Alpaca a fine-tuning of the base model to obey instructions (akin to the RLHF used to train ChatGPT) and a set of modifications to llama.cpp to add a chat interface. Download the zip file corresponding to your operating system from the latest release. The weights are based on the published fine-tunes from alpaca-lora, converted back into a PyTorch checkpoint with a modified script and then quantized with llama.cpp the regular way.
    Downloads: 1 This Week
    Last Update:
    See Project
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