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Mill.jl (Multiple Instance Learning Library) is a library build on top of Flux.jl aimed to prototype flexible multi-instance learning models. It is developed to be:

• flexible and versatile
• as general as possible
• fast
• and dependent on only handful of other packages

Watch our introductory talk from JuliaCon 2021

Installation

Run the following in REPL:

] add Mill

Citation

For citing, please use the following entry for the original paper:

@misc{mandlik2021milljl,
      title={Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON data}, 
      author={Simon Mandlik and Matej Racinsky and Viliam Lisy and Tomas Pevny},
      year={2021},
      eprint={2105.09107},
      archivePrefix={arXiv},
      primaryClass={stat.ML}
}

and the following for this implementation (fill in the used version):

@software{mill2018,
  author = {Tomas Pevny and Simon Mandlik},
  title = {Mill.jl framework: a flexible library for (hierarchical) multi-instance learning},
  url = {https://github.com/CTUAvastLab/Mill.jl},
  version = {...},
}

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