# AIM-Harvard/FaceAge

<https://repo.masters-masters.com/en/repos/AIM-Harvard/FaceAge>

[Home](https://repo.masters-masters.com/en) › [AIM-Harvard](https://repo.masters-masters.com/en/owners/AIM-Harvard) › [FaceAge](https://repo.masters-masters.com/en/repos/AIM-Harvard/FaceAge)

AIM-Harvard/FaceAge has 116 stars on GitHub. Its RepoMasters card: Prototype tier. Decoding biological age from face photographs using deep learning.

| Field | Value |
| --- | --- |
| Owner | [AIM-Harvard](https://repo.masters-masters.com/en/owners/AIM-Harvard) |
| Stars | 116 |
| Forks | 18 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2021 |
| Topics | deep-learning, cnn, age-estimation, data-analysis, survival-analysis, biological-age |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AIM-Harvard/FaceAge](https://github.com/AIM-Harvard/FaceAge) |

## Repository

Decoding biological age from face photographs using deep learning.

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.