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  1. Show HN: Explaining Bundesliga predictions for the start of the season (cloudexplain.eu)

    Hi, we build a small ML model with data from the past 15 years to predict the outcomes of the first Bundesliga matches. We used explainable AI to visualize how these predictions were made. Let us know what you think.…

    1 points 1
  2. Show HN: Interactive explainable AI as mlflow artifacts (github.com)

    We just open-sourced our mlflow plugin to generate html reports that let you interactively explore shap values. We're happy for any feedback. Feel free to ask here or submit issues to the repo.

    4 points 2
  3. Show HN: Fast, scalable and interactive explainability for ML Models (mvp.cloudexplain.eu)

    We just launched Cloudexplain, a platform that makes Explainable AI (XAI) effortless for ML Models – with just few lines of code. As data scientists ourselves, we were frustrated by how much time gets wasted trying to…

    2 points 0
  4. Shap v0.45.0 (github.com)
    1 points 1
  5. Ask HN: Do you use products of a cloud marketplace?

    Hi HN, do you use products of cloud marketplaces? If so, what products and how is/was your experience? Have you ever considered using them? Thanks

    1 points 0
  6. Ask HN: Self-hosted application devs how do you handle deployment downtimes?

    Hi guys, I am currently developing an application on a small Hetzner server. I implemented a CI workflow using Github Actions but every time I deploy I have a small downtime (approx. 2mins) and therefore I wonder: How…

    3 points 4
  7. Ask HN: Did you ever fall out of Love with a Programming Language

    Where you ever really enthusiastic about a language and fell out of love with it? What did you like about it in the first place, why did you fall out of love? What did you learn from the experience? I would be really…

    7 points 17