DarrenZhang01/ExCon
ExCon: Explanation-driven Supervised Contrastive Learning
This project helps machine learning engineers improve how their image classification models learn and explain their decisions. It takes labeled image datasets and outputs a more robust image classification model that can provide clearer explanations for why it categorizes images the way it does. The ideal user is a machine learning engineer or researcher developing image recognition systems.
No commits in the last 6 months.
Use this if you are a machine learning engineer working on image classification and want your models to not only be accurate but also to provide more trustworthy and understandable explanations for their predictions.
Not ideal if you are looking for an out-of-the-box solution for general image classification without needing to delve into model training and interpretability techniques.
Stars
18
Forks
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Language
Python
License
Apache-2.0
Category
Last pushed
Dec 30, 2021
Commits (30d)
0
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