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[P] NumPy implementations of various ML models

I’ve been slowly building a collection of pure-NumPy (and a little SciPy) implementations of various ML models + building blocks to use for quick reference. The project has mostly been a fun thing for me to do in my spare time (hence the strange collection of models), though I hope it might also be useful for others interested in bare-bones implementations of particular models / ideas.

https://github.com/ddbourgin/numpy-ml

I’m sure there’s a ton that can be improved / made clearer. Alternatively, if you have models of your own that would be a good fit, PRs are welcome 🙂

submitted by /u/dancepm
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.