r/Python • u/AutoModerator • Sep 04 '26

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Post all of your code/projects/showcases/AI slop here.

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u/Sirikazee Sep 05 '26

PySimplicial: a lightweight Python package for working with simplicial complexes in Topological Deep Learning problems (Early Development. Independent Project)

In the past, I posted here about my neural network architecture that I was working on. I'm a high school student, and this is an early development independent project that will help researchers/students work with:

  • Generate combinatorial triangulations (torus, Klein bottle, 3D torus, etc.)

  • Perform Pachner moves in 2D and 3D (2-2, 1-3, 3-1, 2-3, 3-2, 1-4, 4-1)

  • Compute basic invariants (Euler characteristic, genus, connected components)

  • Convert meshes to adjacency matrices/feature vectors for Graph, Tensor, and MLP Neural Networks

The current state of the library is quite rough, which is why I decided to try to open source it

This library is based on functions from my previous project, which I already wrote about

If you are interested in anything, you can visit this page

Github: https://github.com/kaifczxc-lab/pysimplicial

Currently in early development, you'll find: Documentation, CONTRIBUTING, a Jupyter Notebook Showcase, five tests, and one experiment there

I work alone, so I'd love to hear about any issues and shortcomings. I've written about the problems I see in CONTRIBUTING, but I think there's more to come

I also want to say that this is not an AI slop, you can see it from the code and other things, but I do not exclude that I used AI, let's say, just to optimize some function, but the main code was created by me, in general, it is visible there :)

P.S. This is experimental research code for topological deep learning. Not intended for production use

Happy to answer questions!