Showing 5 open source projects for "scheduling"

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    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

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  • 1
    Netflix Maestro

    Netflix Maestro

    Netflix’s Workflow Orchestrator

    ...Maestro provides built-in mechanisms for retry logic, task scheduling, dependency management, and error handling, which are essential when orchestrating production-scale pipelines.
    Downloads: 0 This Week
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  • 2
    FSRS4Anki

    FSRS4Anki

    A modern Anki custom scheduling based on Free Spaced Repetition

    A modern spaced-repetition scheduler for Anki based on the Free Spaced Repetition Scheduler algorithm.
    Downloads: 0 This Week
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  • 3
    Determined

    Determined

    Determined, deep learning training platform

    ...Interpret your experiment results using the Determined UI and TensorBoard, and reproduce experiments with artifact tracking. Deploy your model using Determined's built-in model registry. Easily share on-premise or cloud GPUs with your team. Determined’s cluster scheduling offers first-class support for deep learning and seamless spot instance support. Check out examples of how you can use Determined to train popular deep learning models at scale.
    Downloads: 0 This Week
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  • 4
    Mars Framework

    Mars Framework

    Mars is a tensor-based unified framework for large-scale data

    Mars is a distributed computing framework designed to scale scientific computing and data science workloads across large clusters while preserving the familiar programming interfaces of common Python libraries. The project provides a tensor-based execution model that extends the capabilities of tools such as NumPy, pandas, and scikit-learn so that large datasets can be processed in parallel without rewriting code for distributed environments. Its architecture automatically divides large...
    Downloads: 0 This Week
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    MongoDB Atlas runs apps anywhere

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  • 5
    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: 0 This Week
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