Showing 4 open source projects for "ios project"

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    Veeam Data Platform v13.1

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    One Monitoring Tool for IT, OT and Cloud | Free Trial

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  • 1
    DSH Desktop

    DSH Desktop

    A modern desktop solution built for the DeepSeek Harness (DSH) plugin

    ...An integrated community marketplace supports discovering, installing, and managing compatible plugins. Users can also remotely launch tasks and monitor agent progress from iOS or Android devices. The project runs a pinned upstream Harness version without modifying its core source.
    Downloads: 69 This Week
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  • 2
    MobileCLIP

    MobileCLIP

    Implementation of "MobileCLIP" CVPR 2024

    ...The repo provides training, inference, and evaluation code for MobileCLIP models trained on DataCompDR, and for newer MobileCLIP2 models trained on DFNDR. It includes an iOS demo app and Core ML artifacts to showcase practical, offline photo search and classification on iPhone-class hardware. Project notes highlight latency/accuracy trade-offs, with MobileCLIP2 variants matching or surpassing larger baselines at notably lower parameter counts and runtime on mobile devices. A companion “mobileclip-dr” repository details large-scale, distributed data-generation pipelines used to reinforce datasets across billions of samples on thousands of GPUs. ...
    Downloads: 0 This Week
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  • 3
    ESP32 iPhone Agent

    ESP32 iPhone Agent

    Let an AI model use a real iPhone with a $7 ESP32

    ESP32 iPhone Agent is an open-source hardware and software project that enables AI models to interact with a physical iPhone using an inexpensive ESP32-S3 microcontroller. It combines AirPlay screen mirroring with USB Human Interface Device emulation to provide an AI agent with visual feedback and physical input capabilities. The ESP32-S3 receives the phone's screen stream and relays visual information to an iPhone application for AI analysis.
    Downloads: 0 This Week
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  • 4
    Apple Neural Engine (ANE) Transformers

    Apple Neural Engine (ANE) Transformers

    Reference implementation of the Transformer architecture optimized

    ANE Transformers is a reference PyTorch implementation of Transformer components optimized for Apple Neural Engine on devices with A14 or newer and on Macs with M1 or newer chips. It demonstrates how to structure attention and related layers to achieve substantial speedups and lower peak memory compared to baseline implementations when deployed to ANE. The repository targets practitioners who want to keep familiar PyTorch modeling while preparing models for Core ML/ANE execution paths....
    Downloads: 0 This Week
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    MongoDB Atlas runs apps anywhere

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