# I built a small DL helper package

**URL:** <https://forum.numer.ai/t/i-built-a-small-dl-helper-package/8282>\
**Category:** Data Science\
**Created:** [April 24, 2026, 4:51pm UTC](https://forum.numer.ai/t/i-built-a-small-dl-helper-package/8282 "2026-04-24T16:51:03Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![klaes\_ashford](https://yyz1.discourse-cdn.com/flex009/user_avatar/forum.numer.ai/klaes_ashford/32/3474_2.png) [@klaes\_ashford](https://forum.numer.ai/u/klaes_ashford)\
**Post date:** [April 24, 2026, 4:51pm UTC](https://forum.numer.ai/t/i-built-a-small-dl-helper-package/8282/1 "2026-04-24T16:51:03Z")

</div>

Built a tiny utility from my own deep learning experimentation workflow and figured others here might find it useful.

I kept getting messy training logs during iterative experiments, so I made **epoch-printer** — a lightweight Python package for clean, fixed-width metric tables in training loops.

No heavy experiment tracking stack — just cleaner stdout.

PyPI: `pip install epoch-printer`  
GitHub: [https://github.com/bpisaacoff/epoch-printer](https://github.com/bpisaacoff/epoch-printer)

Would love feedback if anyone tries it.