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Distributed Execution Runtimes · Awesome GitHub Repositories

3 repos

Awesome GitHub RepositoriesDistributed Execution Runtimes

Infrastructure layers for orchestrating general-purpose parallel tasks, batch jobs, and inference workloads.

Explore 3 awesome GitHub repositories matching networking & communication · Distributed Execution Runtimes. Refine with filters or upvote what's useful.

  1. Home
  2. Networking & Communication
  3. Distributed Systems and Peer-to-Peer
  4. Distributed Computing
  5. Distributed Execution Runtimes

Awesome Distributed Execution Runtimes GitHub Repositories

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  • vinta/awesome-python

    vinta/awesome-python

    283,687GitHubView on GitHub↗

    This project is a comprehensive, community-curated directory that organizes a vast landscape of Python software libraries, frameworks, and tools. It serves as a centralized knowledge base designed to facilitate ecosystem navigation and accelerate developer discovery across the entire software development lifecycle. Th

    Pythonawesomecollectionspython
  • tensorflow/tensorflow

    tensorflow/tensorflow

    193,864GitHubView on GitHub↗

    TensorFlow is a comprehensive machine learning framework designed for the construction, training, and deployment of complex mathematical models. It utilizes a graph-based execution model that represents operations as directed acyclic graphs, enabling automatic differentiation and efficient parallel processing. The syst

    C++deep-learningdeep-neural-networksdistributed
  • PaddlePaddle/PaddleOCR

    PaddlePaddle/PaddleOCR

    70,931GitHubView on GitHub↗

    PaddleOCR is a comprehensive optical character recognition framework designed for detecting and transcribing text from images and documents into structured, machine-readable formats. It provides a modular computer vision pipeline that decouples image preprocessing, text detection, and character recognition into indepen

    Pythonai4sciencechineseocrdocument-parsing

Explore sub-tags

  • Distributed Device OrchestrationFrameworks that manage computational loads by distributing processing tasks across multiple hardware devices.
  • Distributed RuntimesExecution engines that orchestrate and scale parallelized computational workloads across multiple distributed nodes.