https://github.com/dobriban/Topics-In-Modern-Statistical-Learning

Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
https://github.com/dobriban/Topics-In-Modern-Statistical-Learning

calibration conformal-prediction deep-learning machine-learning prediction tolerance-intervals uncertainty-quantification

Last synced: about 1 month ago
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Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc

• Host: GitHub
• URL: https://github.com/dobriban/Topics-In-Modern-Statistical-Learning
• Owner: dobriban
• Created: 2021-11-06T03:53:20.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-05-17T14:34:41.000Z (7 months ago)
• Last Synced: 2024-05-17T16:07:02.201Z (7 months ago)
• Topics: calibration, conformal-prediction, deep-learning, machine-learning, prediction, tolerance-intervals, uncertainty-quantification
• Homepage:
• Size: 89 MB
• Stars: 153
• Watchers: 4
• Forks: 13
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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