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    <title>wigum::website - Transformers</title>
    <subtitle>William Guimont-Martin is a computer science researcher working on robotics, artificial intelligence, 3D perception, point clouds, and software.</subtitle>
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    <updated>2023-03-23T00:00:00+00:00</updated>
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        <title>Learn Transformers</title>
        <published>2023-03-23T00:00:00+00:00</published>
        <updated>2023-03-23T00:00:00+00:00</updated>
        
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            William Guimont-Martin
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        <content type="html" xml:base="https://willguimont.com/blog/transformers/">&lt;p&gt;Here’s a small library I made to explain the Transformer architecture in PyTorch: &lt;a class=&quot;external&quot; href=&quot;https://github.com/willGuimont/transformers&quot; target=&quot;_blank&quot;&gt;willGuimont/transformers&lt;/a&gt;.
The code is heavily commented and should be easy to follow.&lt;/p&gt;
&lt;p&gt;This repository also contains some popular transformer-based models, such as Vision Transformer.&lt;/p&gt;
&lt;p&gt;This was made while developping new practical exercises for &lt;a class=&quot;external&quot; href=&quot;https://github.com/ulaval-damas/glo4030-labs&quot; target=&quot;_blank&quot;&gt;GLO-7030 at Université Laval&lt;/a&gt;.&lt;/p&gt;
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        <title>Transformers in Computer Vision</title>
        <published>2021-09-02T00:00:00+00:00</published>
        <updated>2021-09-02T00:00:00+00:00</updated>
        
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          <name>
            William Guimont-Martin
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        <content type="html" xml:base="https://willguimont.com/blog/transformers-in-cv/">&lt;p&gt;On September 2nd 2021, I gave a talk on transformer-based neural network architectures for computer vision. I gave the in University Laval’s &lt;a class=&quot;external&quot; href=&quot;https://norlab.ulaval.ca/&quot; target=&quot;_blank&quot;&gt;Norlab&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;Here are the slides: &lt;a href=&quot;TransformersInComputerVision.pdf&quot; target=&quot;_blank&quot;&gt;Transformers in Computer Vision&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;And here is the recording of the event:&lt;/p&gt;
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