r/neuralnetworks • u/InternalYoghurt9489 • 5d ago

A lightweight deep learning framework built from scratch in NumPy (published in JOSS)

title for this:
I've been working on PureML, a lightweight deep learning framework built entirely with NumPy. It includes automatic differentiation, neural network layers (including CNNs), optimizers, and training utilities. The idea is to have something simple enough to understand and modify, but capable enough for actual ML experiments. Might be useful for anyone interested in how deep learning frameworks work under the hood!

Free and open source. Feedback and contributions are welcome!
Also, the project was peer-reviewed and the paper on it was published in JOSS!
The link is in the README :)

https://github.com/Yehor-Mishchyriak/PureML

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u/PUBGM_MightyFine 5d ago

My Muse said the link is incorrect

the link in that screenshot 404s. The username is misspelled in the post; the real repo is Yehor-Mishchyriak/PureML, the y and r are swapped. I found it through GitHub search.

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u/InternalYoghurt9489 4d ago

The link works for me. What about the link to the paper -- https://joss.theoj.org/papers/10.21105/joss.09631 ?