catacomb-ai/catacomb
The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.
This library helps machine learning engineers quickly get their models into a user interface, perform quality assurance, and monitor their performance in production. You provide your machine learning model, and it generates a user interface for it, allowing you to test, evaluate, and track its behavior over time. It's designed for machine learning engineers who need to deploy and manage models.
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Use this if you are a machine learning engineer who wants a simple way to create UIs for your models, test them, and track their performance in a production environment.
Not ideal if you need deep customization of your model's user interface or already have a robust MLOps pipeline in place for deployment and monitoring.
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Apache-2.0
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Last pushed
Feb 16, 2023
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