GitsSaikat/QuXAI
Explainers for Quantum Machine Learning Models
This framework helps quantum machine learning researchers and practitioners understand why their hybrid quantum-classical models make specific predictions. It takes your trained quantum ML model and input data, then produces visualizations and interpretations of the model's decision-making process. This is ideal for those developing or deploying quantum machine learning applications who need to explain model behavior.
Use this if you need to interpret the predictions of your quantum machine learning models and gain insights into their underlying mechanisms.
Not ideal if you are working with purely classical machine learning models or looking for a general-purpose quantum computing library.
Stars
9
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 24, 2026
Commits (30d)
0
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