pyc-team/pytorch_concepts
PyC (Pytorch Concepts) is a PyTorch-based library for training concept-based interpretable deep learning models.
This library helps machine learning engineers and researchers build deep learning models that are understandable and explainable. It takes your raw data and model specifications as input, then outputs a trained deep learning model where you can see how specific 'concepts' influence its predictions, rather than just getting a black-box answer. It's for those who need to justify or interpret their AI's decision-making process.
Available on PyPI.
Use this if you need to understand *why* your deep learning model makes certain predictions, especially in fields where model transparency is crucial.
Not ideal if you solely need to maximize predictive accuracy without any requirement for model interpretability or causal understanding.
Stars
31
Forks
13
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
Dependencies
6
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