https://github.com/awslabs/fortuna

A Library for Uncertainty Quantification.
https://github.com/awslabs/fortuna

ai bayesian-inference calibration conformal-prediction deep-learning flax jax machine-learning ml model-calibration neural-networks uncertainty uncertainty-calibration uncertainty-estimation uncertainty-quantification

Last synced: 4 days ago
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A Library for Uncertainty Quantification.

• Host: GitHub
• URL: https://github.com/awslabs/fortuna
• Owner: awslabs
• License: apache-2.0
• Created: 2022-11-17T13:11:46.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-10-26T00:14:25.000Z (9 days ago)
• Last Synced: 2024-10-29T07:39:50.611Z (6 days ago)
• Topics: ai, bayesian-inference, calibration, conformal-prediction, deep-learning, flax, jax, machine-learning, ml, model-calibration, neural-networks, uncertainty, uncertainty-calibration, uncertainty-estimation, uncertainty-quantification
• Language: Python
• Homepage: https://aws-fortuna.readthedocs.io/en/latest/
• Size: 5.45 MB
• Stars: 890
• Watchers: 11
• Forks: 46
• Open Issues: 4
• Metadata Files:
  • Readme: README.rst
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Security: SECURITY.md

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