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Awesome GitHub RepositoriesDistributed Learning

Techniques and frameworks for training machine learning models across multiple computing nodes or parallel processing units.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Distributed Learning. Refine with filters or upvote what's useful.

Awesome Distributed Learning GitHub Repositories

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  • 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
  • pytorch/pytorch

    pytorch/pytorch

    97,601GitHubView on GitHub↗

    PyTorch is a machine learning framework centered on a GPU-ready tensor library that supports multi-dimensional array operations across both CPU and accelerator hardware. It provides a foundational infrastructure for mathematical computation and dynamic neural network construction, utilizing a tape-based automatic diffe

    Pythonautograddeep-learninggpu

Explore sub-tags

  • Federated LearningsComputational tasks executed across decentralized data sources to train models locally while maintaining data privacy.
  • Fully Sharded Data ParallelismMemory-efficient training technique that shards model parameters, gradients, and optimizer states across data-parallel processes.