kiankd/corel2019
Code for AAAI 2019 Network Interpretability workshop paper
This project helps machine learning researchers evaluate clustering models. You provide a trained neural network (without its final output layer) and it computes a specialized loss function. This helps researchers understand how well a model's internal representations facilitate distinct grouping of data points, particularly for text or other feature-rich datasets.
No commits in the last 6 months.
Use this if you are a machine learning researcher or data scientist focused on evaluating the interpretability and clustering capability of deep learning models.
Not ideal if you are looking for a pre-built clustering solution or a tool for general data analysis outside of model interpretability research.
Stars
16
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2
Language
Python
License
GPL-3.0
Category
Last pushed
Jul 05, 2021
Commits (30d)
0
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