# p-lambda/verified\_calibration

<https://repo.masters-masters.com/en/repos/p-lambda/verified_calibration>

[Home](https://repo.masters-masters.com/en) › [p-lambda](https://repo.masters-masters.com/en/owners/p-lambda) › [verified\_calibration](https://repo.masters-masters.com/en/repos/p-lambda/verified_calibration)

p-lambda/verified\_calibration has 155 stars on GitHub. Its RepoMasters card: Prototype tier. Calibration library and code for the paper: Verified Uncertainty…

| Field | Value |
| --- | --- |
| Owner | [p-lambda](https://repo.masters-masters.com/en/owners/p-lambda) |
| Stars | 155 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | uncertainty-calibration, calibration-library, ece, calibration, toolbox, metrics |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [p-lambda/verified\_calibration](https://github.com/p-lambda/verified_calibration) |

## Repository

Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
