# FreeformRobotics/Divide-and-Co-training

<https://repo.masters-masters.com/en/repos/FreeformRobotics/Divide-and-Co-training>

[Home](https://repo.masters-masters.com/en) › [FreeformRobotics](https://repo.masters-masters.com/en/owners/FreeformRobotics) › [Divide-and-Co-training](https://repo.masters-masters.com/en/repos/FreeformRobotics/Divide-and-Co-training)

FreeformRobotics/Divide-and-Co-training has 107 stars on GitHub. Its RepoMasters card: Prototype tier. \[TIP 2022\] Towards Better Accuracy-efficiency…

| Field | Value |
| --- | --- |
| Owner | [FreeformRobotics](https://repo.masters-masters.com/en/owners/FreeformRobotics) |
| Stars | 107 |
| Forks | 22 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Topics | splitnet, image-classification, deep-ensemble, cifar, efficientnet, imagenet |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [FreeformRobotics/Divide-and-Co-training](https://github.com/FreeformRobotics/Divide-and-Co-training) |

## Repository

\[TIP 2022\] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

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.