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15 lines
697 B
Markdown
15 lines
697 B
Markdown
# PointCNN
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PyTorch implementation of PointCNN model specified in the white paper located here: https://arxiv.org/pdf/1801.07791.pdf
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Current MNIST accuracy: ~98%
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My coding style is somewhat unique, but ultimately geared towards maximal
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readability. Along with extensive documentation in the code, I use type
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annotations and code comments indicating input/outputs shapes.
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(x,y,z) just indicate that any value is accepted at runtime.
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WARNING: Code is almost correct, but I still have to throw in a few details
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to make it easy to access as an external library, as well as test. You can feel
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free to use whatever is available right now, but I'll likely have the kinks ironed
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out by Monday evening.
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