<p>There's always <a href="https://paperswithcode.com/method/yolov1" rel="nofollow noreferrer">Papers With Code</a></p>
<p>(Papers With Code is a web site which shows code for published papers).</p>
<p>If you are specifically looking for YOLO v1, then Kaggle has a notebook and a link to a tutorial:</p>
<p><a href="https://www.kaggle.com/code/vexxingbanana/yolov1-from-scratch-pytorch" rel="nofollow noreferrer">Kaggle notebook</a></p>
<p><a href="https://www.youtube.com/watch?v=n9_XyCGr-MI" rel="nofollow noreferrer">YouTube Tutorial</a></p>

CC BY-SA 4.0
2023-03-14T04:26:53.600Z
But won't it be just seeing the code and typing it?
vivian.ai
CC BY-SA 4.0
2023-03-24T02:13:54.057Z
Seeing the code, typing it and understanding why it does what it does is far from the worst way to explore a model. But I also linked to a tutorial.
AlDante
CC BY-SA 4.0
2023-03-13T21:36:00.943Z
2023-03-13T21:41:29.277Z
2023-03-13T21:41:29.277Z
AlDante
<p>I understood how Yolov1 works but finding difficulty in coding it. How should I proceed?</p>

<deep-learning><research>
Difficulty in coding research papers
vivian.ai
# Difficulty in coding research papers

(Asked by: username_0 on 2023-03-13)

I understood how Yolov1 works but finding difficulty in coding it. How should I proceed?

**Tags:** deep-learning, research


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## 1 answers

### Answer by username_1 on 2023-03-13. Score: 1

There's always [Papers With Code](https://paperswithcode.com/method/yolov1)

(Papers With Code is a web site which shows code for published papers).

If you are specifically looking for YOLO v1, then Kaggle has a notebook and a link to a tutorial:

[Kaggle notebook](https://www.kaggle.com/code/vexxingbanana/yolov1-from-scratch-pytorch)

[YouTube Tutorial](https://www.youtube.com/watch?v=n9_XyCGr-MI)

> **Comments:**
> **username_0**: But won't it be just seeing the code and typing it?  
> **username_1**: Seeing the code, typing it and understanding why it does what it does is far from the worst way to explore a model. But I also linked to a tutorial.  

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