JuliaML/MLDatasets.jl
Utility package for accessing common Machine Learning datasets in Julia
This package helps machine learning engineers and researchers quickly access standard benchmark datasets for developing and testing their models. It automates downloading, unpacking, and loading common datasets like MNIST, CIFAR10, Cora, and Iris, providing ready-to-use data for various machine learning tasks. It's designed for those building machine learning models who need a reliable source of well-known training and testing data.
233 stars.
Use this if you are a machine learning practitioner working with Julia and need to easily load widely-used public datasets for model training, evaluation, or benchmarking.
Not ideal if you need to process or visualize data in complex ways beyond basic access, or if you're looking for specialized, domain-specific datasets not commonly used as ML benchmarks.
Stars
233
Forks
48
Language
Julia
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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