Search Results for "linux device drivers development" - Page 26

Showing 630 open source projects for "linux device drivers development"

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  • 1

    AntiPython-AI-Compiler-Colab

    Google Colab GPU access in your favorite programming language

    AntiPython Colab is a source to source compiler that let's you build AI in Java, Rust, JavaScript, Flutter, C#, Go, Ocaml(and etc...) utilizing free Google Colab GPUs! It's blazingly fast and very robust as it uses websockets and the Treesitter C library under the hood.
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  • 2

    KinectStreamer

    Streams data from 3D cameras over a network.

    This is an application that streams data from the Microsoft Kinect or cameras like it over a network. The program is Intended to be used in robotics applications where the controller cannot use such cameras directly due to hardware/software limitations--such as lacking usb ports or appropriate drivers--or in situations where the camera is not in close proximity to the device that needs to access it. Given that the controller can accept data from over the network, another embedded controller...
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  • 3
    Enables remote slide view, control and navigation on any (mobile) device providing HTML browsing capabilities. Primary development focus is iPhone and Microsoft Powerpoint / OpenOffice Impress.
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  • 4
    OWLOS

    OWLOS

    Open source network operating system for managing IoT devices.

    OWLOS Open source network operating system for managing IoT devices: - does't require internet access or additional servers - ready to connect sensors, actuators, LCD, DHT, Stepper and other devices - does't require programming skills - built-in user interface - use web browser to access and manage your OWLOS nodes - built-in RESTful server - built-in MQTT client - at the same time WiFi access point and station, in any combination: - can be used...
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    Ship Agents Faster

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    Devstral Small 2

    Devstral Small 2

    Lightweight 24B agentic coding model with vision and long context

    Devstral Small 2 is a compact agentic language model designed for software engineering workflows, excelling at tool usage, codebase exploration, and multi-file editing. With 24B parameters and FP8 instruct tuning, it delivers strong instruction following while remaining lightweight enough for local and on-device deployment. The model achieves competitive performance on SWE-bench, validating its effectiveness for real-world coding and automation tasks. It introduces vision capabilities,...
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