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Awesome GitHub RepositoriesDistributed Graph Computing

The domain of executing graph-structured data processing across a cluster of servers.

Distinct from Graph Computation: None of the candidates sufficiently cover the domain of distributed graph computation as a primary category

Explore 1 awesome GitHub repository matching artificial intelligence & ml · Distributed Graph Computing. Refine with filters or upvote what's useful.

Awesome Distributed Graph Computing GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • angel-ml/angelAvatar de Angel-ML

    Angel-ML/angel

    6,783Voir sur GitHub↗

    Angel is a distributed machine learning framework and graph computation engine designed to train predictive models and execute algorithms across a cluster of servers. It functions as a distributed parameter server that synchronizes model weights and gradients across multiple machines to handle massive datasets. The system provides a production environment for model inference deployment to provide real-time predictions for end users. It integrates with Spark to run machine learning workflows and data processing pipelines through a compatible interface. The framework covers distributed graph c

    Provides a framework for large-scale distributed graph computation and graph neural networks.

    Javahigh-dimensionalmachine-learningmodel
    Voir sur GitHub↗6,783
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