VectorInstitute/cyclops
A toolkit for evaluating and monitoring AI models in clinical settings
This toolkit helps clinical researchers and healthcare practitioners develop, evaluate, and monitor AI models for medical applications. You can input various clinical data types like images, time-series, or tabular data, and it outputs model evaluations, performance metrics, and detailed model report cards. It's designed for professionals who build and deploy machine learning solutions in healthcare settings.
Use this if you are developing or deploying AI models for clinical prediction tasks and need robust tools for data preparation, model evaluation, and continuous monitoring for shifts in real-world clinical data.
Not ideal if your primary focus is on foundational AI research outside of healthcare or if you require highly specialized statistical analysis tools not directly related to ML model performance.
Stars
89
Forks
16
Language
Python
License
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Category
Last pushed
Mar 09, 2026
Commits (30d)
0
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