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    <title>mlx</title>
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    <updated>2026-06-16T16:15:16+00:00</updated>
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            <id>https://links.biapy.com/links/10877</id>
            <title type="text"><![CDATA[Rmlx]]></title>
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            <author>
                <name><![CDATA[Biapy]]></name>
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            <summary type="text">
                <![CDATA[R interface to Apple’s MLX (Machine Learning eXchange) library.

Rmlx provides an R interface to Apple’s MLX framework, enabling high-performance GPU computing on Apple Silicon.

- [Rmlx @ GitHub](https://github.com/hughjonesd/Rmlx/).]]>
            </summary>
            <updated>2025-11-04T12:38:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/813</id>
            <title type="text"><![CDATA[node-mlx]]></title>
            <link rel="alternate" href="https://github.com/frost-beta/node-mlx" />
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            <author>
                <name><![CDATA[Biapy]]></name>
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            <summary type="text">
                <![CDATA[A machine learning framework for Node.js, based on MLX.]]>
            </summary>
            <updated>2025-08-28T18:14:24+00:00</updated>
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