Pure Python/NumPy CIFAR-10 dataset loader
Project description
pure_cifar_10
A pure Python, minimal-dependency loader for the CIFAR-10 dataset. This package provides the CIFAR-10 images and labels as NumPy arrays, with automatic downloading and caching, requiring only numpy and tqdm[citation:1][citation:2].
Features
- Minimal Dependencies: Only requires
numpyandtqdm. No heavy machine learning frameworks like PyTorch or TensorFlow[citation:4]. - Automatic Handling: Downloads the CIFAR-10 dataset automatically on first use and caches it locally.
- Pure NumPy: Returns standard
numpy.ndarrayobjects for easy integration into any pipeline. - Progress Visualization: Uses
tqdmto show download and loading progress bars. - Simple API: Mirrors the clean, functional style of the
mnist_datasetspackage.
Installation
You can install the package directly from PyPI using pip:
pip install pure_cifar_10
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