https://github.com/aangelopoulos/conformal_classification
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
https://github.com/aangelopoulos/conformal_classification
artificial-intelligence classification classifier computer-vision conformal conformal-prediction deep-neural-networks distribution-free imagenet machine-learning neural-networks nonparametric nonparametric-statistics prediction-sets pytorch statistics uncertainty uncertainty-quantification vision
Last synced: 10 months ago
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Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
- Host: GitHub
- URL: https://github.com/aangelopoulos/conformal_classification
- Owner: aangelopoulos
- License: mit
- Created: 2020-09-04T19:07:51.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-01-23T09:25:27.000Z (about 3 years ago)
- Last Synced: 2025-04-04T10:44:08.885Z (10 months ago)
- Topics: artificial-intelligence, classification, classifier, computer-vision, conformal, conformal-prediction, deep-neural-networks, distribution-free, imagenet, machine-learning, neural-networks, nonparametric, nonparametric-statistics, prediction-sets, pytorch, statistics, uncertainty, uncertainty-quantification, vision
- Language: Jupyter Notebook
- Homepage:
- Size: 4.26 MB
- Stars: 237
- Watchers: 9
- Forks: 34
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE