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A Rust library with homemade machine learning models to classify the MNIST dataset. Built in an attempt to get familiar with advanced Rust concepts.

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Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
models		models
src		src
.gitignore		.gitignore
Cargo.toml		Cargo.toml
LICENSE		LICENSE
README.md		README.md
build.sh		build.sh

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mnist-classifier

Ideas

UPDATED: Finish CLI Flags
Parallelize conputationally intensive functions
Class-based naive bayes
README
Image parsing
Confusion matrix saving
Port model code to separate module
examples of custom models -> use STAT200 datasets for classification
remove panics and port to custom error codes
make test return confusion matrix and accuracy

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A Rust library with homemade machine learning models to classify the MNIST dataset. Built in an attempt to get familiar with advanced Rust concepts.

rust machine-learning naive-bayes mnist classification

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