Franblueee/torchmil

Deep Multiple Instance Learning library for Pytorch

52
/ 100
Established

This library helps machine learning engineers and researchers build and train deep learning models for problems where data is grouped into 'bags' of instances rather than individual data points. You input datasets organized this way, like medical images composed of many small patches, and it outputs trained models capable of classifying or analyzing these 'bags'. This is useful for anyone working with specialized machine learning tasks that require Multiple Instance Learning.

Available on PyPI.

Use this if you are a machine learning practitioner working with PyTorch and need a robust framework to develop and apply Multiple Instance Learning models.

Not ideal if you are looking for a no-code solution or are unfamiliar with Python and deep learning frameworks like PyTorch.

deep-learning multiple-instance-learning computer-vision medical-imaging-analysis machine-learning-research
Maintenance 10 / 25
Adoption 9 / 25
Maturity 25 / 25
Community 8 / 25

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Stars

74

Forks

5

Language

Python

License

Apache-2.0

Last pushed

Mar 03, 2026

Commits (30d)

0

Dependencies

9

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