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    <title>PyPI recent updates for timber-compiler</title>
    <link>https://pypi.org/project/timber-compiler/</link>
    <description>Recent updates to the Python Package Index for timber-compiler</description>
    <language>en</language>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/timber-compiler/0.6.0/</link>
      <description>Classical ML Inference Compiler — compiles XGBoost, LightGBM, sklearn, CatBoost, and ONNX models to optimized C99 / LLVM IR / WASM inference artifacts. Includes hardware acceleration (AVX2/NEON/CUDA), safety certification (DO-178C/ISO-26262), supply-chain signing, and embedded/ROS2/PX4 deployment.</description>
<author>kossiso@electricsheep.africa</author>      <pubDate>Thu, 16 Apr 2026 16:06:46 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/timber-compiler/0.5.0/</link>
      <description>Classical ML Inference Compiler — compiles XGBoost, LightGBM, sklearn, CatBoost, and ONNX models to optimized C99 / LLVM IR / WASM inference artifacts. Supports tree ensembles, SVMs, Naive Bayes, GPR, k-NN, Isolation Forest, and robot forward kinematics.</description>
<author>kossiso@electricsheep.africa</author>      <pubDate>Fri, 13 Mar 2026 12:34:30 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/timber-compiler/0.4.0/</link>
      <description>Classical ML Inference Compiler — compiles XGBoost, LightGBM, sklearn, CatBoost, and ONNX models to optimized C99 / LLVM IR / WASM inference artifacts</description>
<author>kossiso@electricsheep.africa</author>      <pubDate>Wed, 04 Mar 2026 09:36:24 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/timber-compiler/0.3.0/</link>
      <description>Classical ML Inference Compiler — compiles trained ML models into optimized native inference binaries</description>
<author>kossiso@electricsheep.africa</author>      <pubDate>Wed, 04 Mar 2026 04:44:55 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/timber-compiler/0.2.0/</link>
      <description>Classical ML Inference Compiler — compiles trained ML models into optimized native inference binaries</description>
<author>kossiso@electricsheep.africa</author>      <pubDate>Tue, 03 Mar 2026 13:05:46 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/timber-compiler/0.1.0/</link>
      <description>Classical ML Inference Compiler — compiles trained ML models into optimized native inference binaries</description>
<author>kossiso@electricsheep.africa</author>      <pubDate>Fri, 27 Feb 2026 23:35:37 GMT</pubDate>
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