# Raschka-research-group/coral-cnn

<https://repo.masters-masters.com/en/repos/Raschka-research-group/coral-cnn>

[Home](https://repo.masters-masters.com/en) › [Raschka-research-group](https://repo.masters-masters.com/en/owners/Raschka-research-group) › [coral-cnn](https://repo.masters-masters.com/en/repos/Raschka-research-group/coral-cnn)

Raschka-research-group/coral-cnn has 366 stars on GitHub. Its RepoMasters card: Alpha tier. Rank Consistent Ordinal Regression for Neural Networks with…

| Field | Value |
| --- | --- |
| Owner | [Raschka-research-group](https://repo.masters-masters.com/en/owners/Raschka-research-group) |
| Stars | 366 |
| Forks | 64 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | ordinal-regression, pytorch, deeplearning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Raschka-research-group/coral-cnn](https://github.com/Raschka-research-group/coral-cnn) |

## Repository

Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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