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Computation Compilers · Awesome GitHub Repositories

1 repo

Awesome GitHub RepositoriesComputation Compilers

Compilers that transform model definitions into optimized execution graphs for hardware acceleration.

Distinguishing note: Focuses on graph-based optimization and operator fusion for machine learning models.

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  • modular/modular

    modular/modular

    25,603View on GitHub↗

    Modular is a unified machine learning development platform designed for building, compiling, and deploying high-performance neural network models. It provides a comprehensive execution engine that supports both local and production-grade inference, enabling developers to manage the entire model lifecycle from initial architecture definition to scalable, containerized service deployment. The platform distinguishes itself through a hardware-agnostic runtime that abstracts diverse silicon architectures, allowing models to execute efficiently across varied compute environments. It includes a spec

    Transforms high-level model definitions into optimized execution graphs that leverage hardware acceleration.

    Mojoailanguagemachine-learning
    25,603View on GitHub↗