Showing 5 open source projects for "scheduling"

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  • 1
    Operit AI

    Operit AI

    Powerful Android AI agent with tools, automation, and Linux shell

    Operit is a full-featured AI assistant and agent platform designed specifically for Android devices, aiming to go far beyond traditional chat-based interfaces. It integrates deep system-level capabilities with a wide range of tools, allowing the AI to perform real tasks such as file management, automation, and system control directly on the device. A standout aspect of the project is its built-in Ubuntu 24 environment, which enables users to run Linux commands, scripts, and development tools...
    Downloads: 1,208 This Week
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  • 2
    CGraph

    CGraph

    A general, three-party dependency-free, cross-platform

    CGraph is a high-performance, cross-platform Directed Acyclic Graph (DAG) framework implemented in pure C++ with no third-party dependencies, designed for building complex task pipelines and parallel execution workflows. It allows developers to model computational processes as graph structures, where nodes represent tasks and edges define dependencies, enabling efficient scheduling and execution. The framework includes a pipeline system that supports sequential and parallel execution, conditional branching, aggregation, and loop control, making it highly flexible for advanced workflows. Developers can extend the system by defining custom nodes and grouping them into logical structures, allowing fine-grained control over execution behavior. ...
    Downloads: 0 This Week
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  • 3
    Proximus for Ryzen AI

    Proximus for Ryzen AI

    Runtime extension of Proximus enabling Deployment on AMD Ryzen™ AI

    This project extends the Proximus development environment to support deployment of AI workloads on next-generation AMD Ryzen™ AI processors, such as the Ryzen™ AI 7 PRO 7840U featured in the Lenovo ThinkPad T14s Gen 4 ,one of the first true AI PCs with an onboard Neural Processing Unit (NPU) capable of 16 TOPS (trillion operations per second). Originally designed for use with Windows 11 Pro, this runtime was further enhanced to work under Linux environments, allowing developers and...
    Downloads: 0 This Week
    Last Update:
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  • 4
    MACE

    MACE

    Deep learning inference framework optimized for mobile platforms

    ...Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes obligatory when running a model. Mechanism like automatically breaking OpenCL kernel into small units is introduced to allow better preemption for the UI rendering task. Graph level memory allocation optimization and buffer reuse are supported. ...
    Downloads: 1 This Week
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  • 5
    Crackpot is an action planning system based on iterative repair. It features real-time optimization and revision, auto-scaling on parallel architectures, and handles temporal reasoning, resources, and an open, complex planning world.
    Downloads: 0 This Week
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