nikitadurasov/masksembles
Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
When you're building systems that rely on artificial intelligence, it's crucial to understand how confident your AI model is in its predictions, especially for critical tasks like medical diagnosis or self-driving cars. This tool helps AI practitioners get reliable uncertainty estimates from their neural networks without needing to train multiple models, which saves a lot of time and computational resources. It takes your existing deep learning model and adds a special layer, producing outputs that indicate both the prediction and its associated uncertainty.
103 stars. Available on PyPI.
Use this if you need to understand the reliability and confidence of your deep learning model's predictions in a resource-efficient manner.
Not ideal if your application doesn't require knowing the uncertainty of AI predictions or if you are not working with deep neural networks.
Stars
103
Forks
16
Language
Python
License
MIT
Last pushed
Nov 09, 2025
Commits (30d)
0
Dependencies
1
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