Showing 4 open source projects for "framework"

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    Learning Interpretability Tool

    Learning Interpretability Tool

    Interactively analyze ML models to understand their behavior

    The Learning Interpretability Tool (LIT, formerly known as the Language Interpretability Tool) is a visual, interactive ML model-understanding tool that supports text, image, and tabular data. It can be run as a standalone server, or inside of notebook environments such as Colab, Jupyter, and Google Cloud Vertex AI notebooks.
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  • 2
    Responsible AI Toolbox

    Responsible AI Toolbox

    Responsible AI Toolbox is a suite of tools providing model

    ...These capabilities are particularly important for high-impact domains where AI systems must meet strict reliability and fairness requirements. By offering reusable components and standardized workflows, the framework helps organizations implement responsible AI practices throughout the machine learning lifecycle.
    Downloads: 0 This Week
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  • 3
    Apache TVM

    Apache TVM

    TVM Documentation in Chinese Simplified

    ...The project translates official TVM guides and organizes them into structured documentation that explains how to compile, optimize, and deploy deep learning models on heterogeneous hardware architectures. It also encourages community collaboration by inviting contributors to submit corrections, improvements, and additional translations as the TVM framework evolves.
    Downloads: 0 This Week
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  • 4
    Pipcook

    Pipcook

    Machine learning platform for Web developers

    A JavaScript application framework for machine learning and its engineering. With the mission of enabling JavaScript engineers to utilize the power of machine learning without any prerequisites and the vision to lead the front-end technical field to intelligence. Pipcook is to become the JavaScript application framework for the cross-cutting area of machine learning and front-end interaction.
    Downloads: 0 This Week
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