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Terminay merged 1 commit into from
Aug 11, 2026
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Enhance README with contributor acknowledgment #28

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10 changes: 10 additions & 0 deletions README.md
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LeanPass is a lightweight, transparent NumPy-based autodiff library for small neural network experiments. It is designed to be easy to read, simple to inspect, and practical for learning how automatic differentiation works under the hood.

I am incredibly grateful to the early contributors helping me shape this project! Click on their profiles below to **follow them** and check out their work:

<a href="https://github.com/Terminay/leanpass/graphs/contributors">
<img src="https://contrib.rocks/image?repo=Terminay/leanpass" />
</a>

Made with [contrib.rocks](https://contrib.rocks).

*Want to help out?* I am actively looking for fresh eyes to test features, fix bugs, or improve docs. Check out the open [Issues](https://github.com/Terminay/leanpass) or just open a PR.

![demo](leanpass.gif)

## Why LeanPass?
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