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    <title>PyPI recent updates for tensorlink</title>
    <link>https://pypi.org/project/tensorlink/</link>
    <description>Recent updates to the Python Package Index for tensorlink</description>
    <language>en</language>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/tensorlink/0.3.0/</link>
      <description>Tensorlink is a decentralized Python library for distributed PyTorch models, providing easy Hugging Face API access and enabling users to share compute resources across a global network.</description>
<author>smartnodes-lab@proton.me</author>      <pubDate>Tue, 19 May 2026 23:14:28 GMT</pubDate>
    </item>    <item>
      <title>0.2.0.post1</title>
      <link>https://pypi.org/project/tensorlink/0.2.0.post1/</link>
      <description>Tensorlink is a decentralized Python library for distributed PyTorch models, providing easy Hugging Face API access and enabling users to share compute resources across a global network.</description>
<author>smartnodes-lab@proton.me</author>      <pubDate>Tue, 14 Oct 2025 15:30:20 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/tensorlink/0.2.0/</link>
      <description>Tensorlink is a decentralized Python library for distributed PyTorch models, providing easy Hugging Face API access and enabling users to share compute resources across a global network.</description>
<author>smartnodes-lab@proton.me</author>      <pubDate>Tue, 14 Oct 2025 13:45:39 GMT</pubDate>
    </item>    <item>
      <title>0.1.6.post1</title>
      <link>https://pypi.org/project/tensorlink/0.1.6.post1/</link>
      <description>Tensorlink is a library designed to simplify distributed model training and inference with PyTorch, offering tools to easily distribute models across a network of peers and share computational resources both locally and globally.</description>
<author>smartnodes-lab@proton.me</author>      <pubDate>Mon, 28 Jul 2025 19:57:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/tensorlink/0.1.6/</link>
      <description>Tensorlink is a library designed to simplify distributed model training and inference with PyTorch, offering tools to easily distribute models across a network of peers and share computational resources both locally and globally.</description>
<author>smartnodes-lab@proton.me</author>      <pubDate>Tue, 27 May 2025 14:48:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.5.post1</title>
      <link>https://pypi.org/project/tensorlink/0.1.5.post1/</link>
      <description>Tensorlink is a library designed to simplify distributed model training and inference with PyTorch, offering tools to easily distribute models across a network of peers and share computational resources both locally and globally.</description>
<author>smartnodes-lab@proton.me</author>      <pubDate>Mon, 05 May 2025 13:40:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/tensorlink/0.1.5/</link>
      <description>Tensorlink is a library designed to simplify distributed model training and inference with PyTorch, offering tools to easily distribute models across a network of peers and share computational resources both locally and globally.</description>
<author>smartnodes-lab@proton.me</author>      <pubDate>Thu, 01 May 2025 03:37:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/tensorlink/0.1.4/</link>
      <description>Tensorlink is a library designed to simplify distributed model training and inference with PyTorch, offering tools to easily distribute models across a network of peers and share computational resources both locally and globally.</description>
<author>smartnodes-lab@proton.me</author>      <pubDate>Tue, 15 Apr 2025 14:35:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/tensorlink/0.1.3/</link>
      <description>Tensorlink is a library designed to simplify distributed model training and inference with PyTorch, offering tools to easily distribute models across a network of peers and share computational resources both locally and globally.</description>
<author>smartnodes-lab@proton.me</author>      <pubDate>Sat, 29 Mar 2025 22:35:23 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/tensorlink/0.1.2/</link>
      <description>Tensorlink is a library designed to simplify distributed model training and inference with PyTorch, offering tools to easily distribute models across a network of peers and share computational resources both locally and globally.</description>
<author>smartnodes-lab@proton.me</author>      <pubDate>Tue, 04 Mar 2025 04:45:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/tensorlink/0.1.1/</link>
      <description>Tensorlink is a library designed to simplify the scaling of PyTorch model training and inference, offering tools to easily distribute models across a network of peers and share computational resources both locally and globally.</description>
<author>smartnodes-lab@proton.me</author>      <pubDate>Wed, 18 Dec 2024 19:11:50 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.post1</title>
      <link>https://pypi.org/project/tensorlink/0.1.0.post1/</link>
      <description>Tensorlink is a generalized, plug-and-play framework for distributed model scaling in PyTorch. It provides tools for parsing and distributing models across a network of peers, and integrates directly into existing PyTorch workflows.</description>
<author>smartnodes-lab@proton.me</author>      <pubDate>Mon, 09 Dec 2024 15:41:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/tensorlink/0.1.0/</link>
      <description>Tensorlink is a generalized, plug-and-play framework for distributed model scaling in PyTorch. It provides tools for parsing and distributing models across a network of peers, and integrates directly into existing PyTorch workflows.</description>
<author>smartnodes-lab@proton.me</author>      <pubDate>Wed, 13 Nov 2024 15:43:48 GMT</pubDate>
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