Download
This package represents a community effort to provide a common interface for accessing common Machine Learning (ML) datasets. In contrast to other data-related Julia packages, the focus of MLDatasets.jl is specifically on downloading, unpacking, and accessing benchmark datasets. Functionality for the purpose of data processing or visualization is only provided to a degree that is special to some datasets.
Features
- Datasets are grouped into different categories
- The way MLDatasets.jl is organized is that each dataset is its own type
- Datasets with an underlying graph structure: Cora, PubMed, CiteSeer
- Datasets that do not fall into any of the other categories: Iris, BostonHousing
- Datasets for language models
- Vision related datasets such as MNIST, CIFAR10, CIFAR100
Project Samples
