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Model Benchmarks · Awesome GitHub Repositories

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Awesome GitHub RepositoriesModel Benchmarks

Automated suites for measuring machine learning model speed and accuracy.

Distinguishing note: Focuses on ML-specific performance metrics rather than general software testing.

Explore 1 awesome GitHub repository matching testing & quality assurance · Model Benchmarks. Refine with filters or upvote what's useful.

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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

    Provides automated tools to measure model speed and accuracy against defined datasets.

    Mojoailanguagemachine-learning
    25,603View on GitHub↗