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Home/Cloud & DevOps/I open sourced a production MLOps pipeline. Here is what it took to get it to PyPI and Hugging Face in one day.
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I open sourced a production MLOps pipeline. Here is what it took to get it to PyPI and Hugging Face in one day.

I have been running ML pipelines in production for few years. Tens of millions of predictions a day, real money on the line, no tolerance for guesswork. PulseFlow started as something I built for myself. A reference architecture I kept recreating from scratch at every company because nothing open so

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