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avin_regmi

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  1. 1 points 0
  2. Show HN: Clean, high-quality AI image generation (shutterly.co)

    Hi HN, I recently built a web app that lets users generate AI images using models we trained and fine-tuned on our own custom datasets. One thing that sets it apart is that we run generation with more iterations than…

    4 points 2
  3. Show HN: Labelur – Text classifier without training data

    What do you guys think about www.labelur.com. Here is a blog that talks more about it https://avinregmi.medium.com/multi-domain-text-classification-via-labelur-bb4dafbf9580

    2 points 0
  4. Ask HN: Do you think this is a good startup idea?

    I'm working on ML model to classify NLP dataset. I'm thinking about online web app where a user would upload CSV file and possible labels. Back end would use ML to classify NLP texts into possible labels. Would you use…

    9 points 18
  5. Google claims its quantum computer can do the impossible in 200 seconds (cnn.com)
    2 points 0
  6. Show HN: Panini AI – Serve ML/DL Models in Few Minutes (panini.ai)
    11 points 0
  7. Ask HN: What do you guys think about Ludwig from Uber?

    Uber just open sourced Ludwig. Ludwig allows you to train and test deep learning models without the need to write code. Do you think people will find this useful? Who do you think will use it?

    1 points 0
  8. Show HN: Panini AI – A platform to serve ML/DL models at low latency (panini.ai)
    29 points 24
  9. Ask HN: What are you using to serve ML models in low latency?

    https://panini.ai/ is the easiest and fastest way to serve ML/DL models at low latency and makes the model deployment to Kubernetes in a few minutes. It also handles load balancing, caching and batching of user inputs.…

    2 points 2
  10. Deploy SciKit Learn Model into Kubernetes Production in Under 2 Minutes (medium.com)
    1 points 0
  11. Serve ML/DL models at low latency (medium.com)
    2 points 0
  12. The easiest way to deploy ML models to production

    I've always had a hard time deploying ML models into production. The traditional approach is to use Flask, Gunicorn with Nginx. This requires a lot of setup time, and it's slow! https://www.panini.ai/ is a platform to…

    1 points 0
  13. Show HN: Platform to serve ML/DL models at low latency

    I've always had a hard time deploying ML models into production. The traditional approach is to use Flask, Gunicorn with Nginx. This requires a lot of setup time. Also, inferring model with flask is slow and requires…

    2 points 0
  14. Ask HN: Why companies are not using deep learning yet?

    I've noticed most companies are using traditional machine learning such as SVM, Random Forrest..etc in production. Also, most are using PySpark ML rather than deep learning frameworks such as tensorflow and pytorch. Why…

    6 points 16
  15. Ask HN: How are companies deploying ML models into production?

    Most forums online are suggesting using Flask to create an endpoint to serve ML/Deep learning models into production. This requires to use Gunicorn and NGINX with loadbalancer. How are companies deploying ML models…

    1 points 0